{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":45,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":45,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"e3258040a86f","filters":{"venue":"CSLS Research Reports"}},"results":[{"id":"W2141162030","doi":"","title":"The Apprenticeship System in Canada: Trends and Issues","year":2005,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Apprenticeship; Incentive; Business; Quality (philosophy); Labour economics; Economics; Market economy","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"James Gibson","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.131024350276413,"gpt":0.4753947738457183,"spread":0.3443704235693053,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002026164,0.0003655783,0.0004816548,0.007855949,0.006610413,0.006967397,0.00275439,0.001181864,0.007026698],"category_scores_gemma":[0.005807893,0.0003619643,0.0004364946,0.01935673,0.003291725,0.001923957,0.002059101,0.002372016,0.0005091403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1196349,"about_ca_system_score_gemma":0.1821118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943699,"about_ca_topic_score_gemma":0.9947913,"domain_scores_codex":[0.9945869,0.0002213939,0.000180172,0.0003699987,0.002362282,0.002279124],"domain_scores_gemma":[0.9823123,0.001059139,0.001353617,0.0002040416,0.009276785,0.005794172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002803589,0.0002646223,0.2983067,0.001550022,0.00008107668,0.001046622,0.01228294,0.001926811,0.001236045,0.07266662,0.08286957,0.5274886],"study_design_scores_gemma":[0.00001661698,0.00007462331,0.7105236,0.0007760547,0.00003546198,0.0003637705,0.01554032,0.001264867,0.0005948791,0.002025452,0.2686911,0.00009322346],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6270189,0.1013865,0.001903531,0.1019847,0.0008298772,0.0002016462,0.01082304,0.0004821926,0.1553696],"genre_scores_gemma":[0.9189227,0.05120106,0.001565947,0.004073758,0.0002592762,0.00004925482,0.003303319,0.00007750969,0.02054714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1196349,"threshold_uncertainty_score":0.8680161,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1512616737","doi":"","title":"Investing in Aboriginal Education in Canada: An Economic Perspective","year":2009,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Standard of living; Population; Economic growth; Government (linguistics); Investment (military); Dividend; Economics; Unemployment; Birth rate; Development economics; Political science; Sociology; Finance","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Jean-François Arsenault","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05469480380440208,"gpt":0.4659951915905264,"spread":0.4113003877861243,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001125719,0.0003812625,0.0004816619,0.003788959,0.005625475,0.006003297,0.001074222,0.001159334,0.004188349],"category_scores_gemma":[0.003204419,0.0001949081,0.0005551049,0.005734103,0.001661421,0.001189394,0.001331843,0.001690203,0.0001589675],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1232969,"about_ca_system_score_gemma":0.1531165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959146,"about_ca_topic_score_gemma":0.9973961,"domain_scores_codex":[0.9975384,0.0002274579,0.00004103199,0.00007873647,0.0008978191,0.001216561],"domain_scores_gemma":[0.9976198,0.000344897,0.0002029012,0.00003091145,0.001124492,0.000677088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001831504,0.0001638248,0.1031222,0.0008071301,0.0002295957,0.002025801,0.004658127,0.0300246,0.0007519797,0.7186289,0.0527215,0.08668327],"study_design_scores_gemma":[0.00008065702,0.00017667,0.3909256,0.003155545,0.0005355473,0.0007374818,0.03433206,0.0508504,0.001354848,0.07106432,0.4464264,0.000360528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3971419,0.04656263,0.004064815,0.1631419,0.0005000158,0.0002074442,0.007299686,0.0001075365,0.3809741],"genre_scores_gemma":[0.9410871,0.02912421,0.002031526,0.002442513,0.0001377275,0.00003750353,0.0008973489,0.00002238364,0.02421975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8767031,"threshold_uncertainty_score":0.8945858,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1513571298","doi":"","title":"Moving from a GDP-Based to a Well-Being Based Metric of Economic Performance and Social Progress: Results from the Index of Economic Well-Being for OECD Countries, 1980-2009","year":2011,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":23,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Index (typography); Economics; Per capita; Gross domestic product; Economic indicator; Economic security; Real gross domestic product; Development economics; Demographic economics; Economic growth; Macroeconomics; Population; Demography","authors":[{"name":"Lars Osberg","is_ca":false},{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05733172813208093,"gpt":0.3566013605152433,"spread":0.2992696323831623,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185616,0.0003935552,0.0003121227,0.002792257,0.0003142192,0.0009279528,0.0002383232,0.0002001052,0.001070894],"category_scores_gemma":[0.002874517,0.00008805512,0.0008286952,0.00496842,0.0003148066,0.0008283309,0.001108928,0.0005647498,0.00060722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100206,"about_ca_system_score_gemma":0.0009358418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07688285,"about_ca_topic_score_gemma":0.0949847,"domain_scores_codex":[0.9996352,0.0000612775,0.00004953274,0.00004541809,0.0001258295,0.00008264062],"domain_scores_gemma":[0.9985846,0.0001806576,0.0003361222,0.00007837515,0.0006531248,0.0001669834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001524746,0.00005595069,0.96385,0.0001131875,0.0001715928,0.00008410848,0.000551929,0.001397643,0.00014638,0.0005353383,0.009039187,0.02390225],"study_design_scores_gemma":[0.000003861925,0.00004825954,0.992839,0.00002280117,0.00003340371,0.00003274366,0.0006749089,0.0001691529,0.0001562713,0.00008294972,0.005928848,0.000007790142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355263,0.001686799,0.0006657713,0.0005673912,0.0001337399,0.00006535274,0.04040076,0.00006587271,0.02088807],"genre_scores_gemma":[0.9488472,0.001911035,0.000963671,0.0000994349,0.00006317134,0.00008586633,0.04433658,0.00002729947,0.003665872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07688285,"threshold_uncertainty_score":0.1528707,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2129052480","doi":"","title":"Measuring Economic Security in Insecure Times: New Perspectives, New Events and the Index of Economic Well-being","year":2009,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economic security; Recession; Unemployment; Poverty; Index (typography); Context (archaeology); Economics; Development economics; Economic growth; Demographic economics; Geography; Macroeconomics","authors":[{"name":"Lars Osberg","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08655787436710399,"gpt":0.4336989085634068,"spread":0.3471410341963028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005355988,0.0005368548,0.0006294376,0.005720914,0.001017782,0.004360816,0.0006407544,0.0005989604,0.001564084],"category_scores_gemma":[0.008110242,0.0001758636,0.0004336507,0.005995,0.00399489,0.00885304,0.003723803,0.002525782,0.0001586752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001918154,"about_ca_system_score_gemma":0.001336115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005005363,"about_ca_topic_score_gemma":0.01017241,"domain_scores_codex":[0.9982716,0.0008019757,0.0002184192,0.0001184652,0.0004454193,0.0001441578],"domain_scores_gemma":[0.995306,0.001989807,0.001273725,0.000280374,0.0006588097,0.0004913281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002195454,0.0001553279,0.3801199,0.0008706919,0.0001651222,0.0004165798,0.03267968,0.002915659,0.0006805691,0.2100109,0.01256729,0.3591987],"study_design_scores_gemma":[0.000009883906,0.0003131906,0.6587341,0.001847374,0.00007000934,0.0008319506,0.07964634,0.004437364,0.0008108669,0.1280039,0.1250691,0.0002259559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7397514,0.06779642,0.04350949,0.0585715,0.002661416,0.0001644942,0.003294293,0.00007645178,0.08417446],"genre_scores_gemma":[0.9526107,0.02724888,0.01483006,0.0009539438,0.001421667,0.0001651092,0.0009958042,0.00002630579,0.001747581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005720914,"threshold_uncertainty_score":0.0283255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135094284","doi":"","title":"Labour Market Seasonality in Canada: Trends and Policy Implications","year":2005,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Seasonality; Unemployment; Economics; Seasonal adjustment; Demographic economics; Labour economics; Economic growth; Variable (mathematics); Ecology","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Jeremy Smith","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1410138389243997,"gpt":0.51678937735802,"spread":0.3757755384336203,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009614134,0.0003153855,0.0004356052,0.003560428,0.003099872,0.003030175,0.001261247,0.0007676577,0.004567412],"category_scores_gemma":[0.003077047,0.0002078938,0.0006615568,0.01166203,0.0009210646,0.001029197,0.001040497,0.001410935,0.0003012958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06808247,"about_ca_system_score_gemma":0.1001092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964163,"about_ca_topic_score_gemma":0.9976179,"domain_scores_codex":[0.9988569,0.00003877709,0.00004950082,0.00008686183,0.0003144609,0.000653419],"domain_scores_gemma":[0.9956162,0.0001912687,0.0006396841,0.0000492455,0.002304994,0.001198529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004010487,0.0001471313,0.8200353,0.001140395,0.0001970719,0.0005893626,0.00539177,0.002653641,0.0008076008,0.01041248,0.05052736,0.1076969],"study_design_scores_gemma":[0.00001193581,0.00003448849,0.9469746,0.0005592153,0.000044342,0.0001019582,0.00866391,0.001437976,0.0001493191,0.0005369515,0.04144355,0.00004172304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7825561,0.05228012,0.0006128926,0.08930245,0.0006343196,0.0001307664,0.03515279,0.0001862526,0.03914435],"genre_scores_gemma":[0.9630474,0.02250887,0.0005712228,0.002675985,0.0001428073,0.00002583586,0.005057068,0.00002632629,0.005944458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06808247,"threshold_uncertainty_score":0.4939752,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2257787915","doi":"","title":"Labour Market Information for Employers and Economic Immigrants in Canada: A Country Study","year":2013,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Immigration; Business; Order (exchange); Labour economics; Immigration policy; Service delivery framework; Profit (economics); Service (business); Economic growth; Economics; Political science; Marketing; Finance","authors":[{"name":"Vikram Rai","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02877866125751175,"gpt":0.3392445606672654,"spread":0.3104658994097537,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00213525,0.000330182,0.0006059013,0.002938403,0.01511742,0.005151215,0.00138867,0.0009796554,0.004421548],"category_scores_gemma":[0.005477937,0.0004739268,0.0005349276,0.007114274,0.001970725,0.001446473,0.00303538,0.002348594,0.0004256488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05098565,"about_ca_system_score_gemma":0.1034035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947898,"about_ca_topic_score_gemma":0.9975193,"domain_scores_codex":[0.9972343,0.0002432539,0.00009689511,0.0001656116,0.0006593865,0.001600558],"domain_scores_gemma":[0.9944932,0.0007235212,0.0008810157,0.0001498192,0.001801364,0.001951108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009363352,0.0004035496,0.8434147,0.0001255433,0.00003077159,0.001328112,0.126794,0.00007667529,0.0002291257,0.001918872,0.005201097,0.02038401],"study_design_scores_gemma":[0.0000119776,0.00006007361,0.6859066,0.00020687,0.00002482024,0.0001988516,0.2988878,0.0001765828,0.00008537246,0.00009485616,0.01430211,0.00004424712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906599,0.0004092799,0.00004177212,0.00135801,0.00002026895,0.00007348308,0.0006851793,0.000003180755,0.006748874],"genre_scores_gemma":[0.992012,0.001073768,0.000117745,0.0007739006,0.0000118426,0.00005201878,0.0005544877,0.000007092614,0.005397138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05098565,"threshold_uncertainty_score":0.3699285,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2797013203","doi":"","title":"The Contribution of Aboriginal People To Future Labour Force Growth In Canada","year":2017,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Closing (real estate); Geography; Political science; Economic growth; Sociology; Development economics; Economics","authors":[{"name":"Don Drummond","is_ca":false},{"name":"Andrew Sharpe","is_ca":false},{"name":"Alexander G. Murray","is_ca":false},{"name":"Nicolas Mask","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02072400300544985,"gpt":0.3865554314398765,"spread":0.3658314284344267,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001540822,0.0004652011,0.0003818355,0.002100568,0.006014555,0.003789506,0.00115735,0.0008956045,0.003769233],"category_scores_gemma":[0.003915705,0.0002153618,0.0009345617,0.003788823,0.001317046,0.001081003,0.002818264,0.002006516,0.0003695248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09091042,"about_ca_system_score_gemma":0.1746092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981803,"about_ca_topic_score_gemma":0.9989906,"domain_scores_codex":[0.9968786,0.0002363472,0.0000675238,0.0001121603,0.001003624,0.001701761],"domain_scores_gemma":[0.997661,0.0001554476,0.0002144978,0.00003527547,0.001188887,0.0007449533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003772811,0.0001162529,0.7307766,0.001131642,0.0004004976,0.001603089,0.02532153,0.01126295,0.0008131168,0.05146344,0.05954294,0.1171907],"study_design_scores_gemma":[0.00002589995,0.00007169156,0.8665272,0.001046918,0.0001809425,0.0003604701,0.03907975,0.006528678,0.000410997,0.005303515,0.08034017,0.0001237316],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8125672,0.01493993,0.001323743,0.06388409,0.000519385,0.0001718773,0.02131611,0.0001328716,0.08514465],"genre_scores_gemma":[0.972479,0.01160095,0.0009467945,0.001617805,0.00006963706,0.00005321548,0.002604544,0.00002318391,0.01060484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09091042,"threshold_uncertainty_score":0.6596043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2257181635","doi":"","title":"Long-term Fiscal and Economic Projections for Canada and the Provinces and Territories, 2014-2038","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Public spending; Revenue; Fiscal policy; Tax revenue; Term (time); Balance (ability); Economic policy; Development economics; Public economics; Macroeconomics; Finance; Political science","authors":[{"name":"Don Drummond","is_ca":false},{"name":"Evan Capeluck","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06358528106122904,"gpt":0.3777763673700227,"spread":0.3141910863087937,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001339659,0.0009313462,0.0005304024,0.004017015,0.002757577,0.002865756,0.001166967,0.0007488489,0.005444963],"category_scores_gemma":[0.003141386,0.000342756,0.001355486,0.006507968,0.0005926594,0.001317146,0.001322489,0.001485769,0.001272026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07380472,"about_ca_system_score_gemma":0.1233333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953569,"about_ca_topic_score_gemma":0.9962674,"domain_scores_codex":[0.9984421,0.00009208444,0.00006318528,0.00006636244,0.0007749367,0.0005613058],"domain_scores_gemma":[0.9964699,0.00007064694,0.0001870814,0.00002965243,0.002873944,0.0003687777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007515135,0.0001327897,0.1363125,0.001415814,0.0007069723,0.001062374,0.001425959,0.09002322,0.00123858,0.06104504,0.6124381,0.09344713],"study_design_scores_gemma":[0.0001543449,0.0001514654,0.3628927,0.001348478,0.0004300531,0.0005430507,0.008877339,0.05016864,0.001697976,0.01341204,0.5598746,0.0004494153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2115934,0.01226819,0.006684236,0.03268337,0.000965,0.0002444948,0.6360558,0.001397198,0.09810822],"genre_scores_gemma":[0.6942295,0.02047134,0.01337683,0.002085351,0.0001488407,0.0002839004,0.2211661,0.0001926792,0.04804545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07380472,"threshold_uncertainty_score":0.5354933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2622682098","doi":"","title":"Are Trends in Patenting Reflective of Innovative Activity in Canada","year":2017,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Metropolitan area; Census; Economic geography; Regional science; Divergence (linguistics); Perspective (graphical); Tracking (education); Business; Demographic economics; Geography; Economic growth; Economics; Population; Sociology; Demography","authors":[{"name":"Jacob Greenspon Erika Rodigues","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3317204961366652,"gpt":0.5185316314464743,"spread":0.1868111353098091,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001371638,0.0001713851,0.0003334933,0.008797776,0.001965381,0.002465701,0.001013405,0.0003763929,0.003195849],"category_scores_gemma":[0.00725096,0.0001746745,0.0005144067,0.01691706,0.000855458,0.0009439025,0.0006401068,0.0005583577,0.0002516389],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0555818,"about_ca_system_score_gemma":0.06872573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953342,"about_ca_topic_score_gemma":0.9962103,"domain_scores_codex":[0.9983165,0.00004986574,0.00008865281,0.000202327,0.0008006538,0.0005419396],"domain_scores_gemma":[0.9891763,0.0008769296,0.001829569,0.0002466429,0.006853817,0.001016778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000201633,0.00004682842,0.8636014,0.0004262197,0.000153268,0.0002226908,0.00368974,0.001874811,0.002533856,0.01080345,0.01357817,0.1028679],"study_design_scores_gemma":[0.000004093265,0.0000220097,0.9815439,0.00005879736,0.0000384506,0.00004160424,0.00150641,0.0008129569,0.0006484287,0.0002403868,0.01505787,0.00002506582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027277,0.005942482,0.0007527046,0.005987927,0.00007899166,0.00006413432,0.02565307,0.0001441146,0.05864888],"genre_scores_gemma":[0.9876807,0.003223145,0.0006537237,0.0001928348,0.00002042225,0.00001164634,0.00357793,0.00001686554,0.004622831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9912022,"threshold_uncertainty_score":0.4032761,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2786170076","doi":"","title":"The Effect of Import Competition on Employment in Canada: Evidence from the 'China Shock'","year":2017,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Superpower; China; Shock (circulatory); Competition (biology); Economics; Business; Development economics; International trade; Demographic economics; Political science; Medicine","authors":[{"name":"Alexander G. Murray","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.14844903726491,"gpt":0.3223201507681519,"spread":0.1738711135032419,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226237,0.000371381,0.0004436321,0.001713275,0.003823683,0.002227155,0.0008388019,0.0009138515,0.005273209],"category_scores_gemma":[0.002467766,0.0001810179,0.0004356815,0.005723307,0.001278925,0.0006274664,0.001380215,0.001279154,0.0003276224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0318449,"about_ca_system_score_gemma":0.04035897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959164,"about_ca_topic_score_gemma":0.9982487,"domain_scores_codex":[0.9992204,0.00003549054,0.00002019777,0.00005302336,0.0002895873,0.0003812845],"domain_scores_gemma":[0.9970986,0.0002669239,0.0006000681,0.00005856443,0.001227224,0.0007487279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005609842,0.0002520332,0.9258162,0.0002628741,0.0002331685,0.001081425,0.00403937,0.00473535,0.001339735,0.008108685,0.02367375,0.02989641],"study_design_scores_gemma":[0.00002643909,0.00005318637,0.9800214,0.00005441858,0.00005476918,0.00004930244,0.006249435,0.0009493525,0.0005019999,0.0002686204,0.01173035,0.00004067942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974019,0.001473049,0.0001178449,0.004756347,0.00004136876,0.00002467828,0.00498777,0.00002587419,0.01455424],"genre_scores_gemma":[0.989993,0.001603306,0.00008369204,0.0006660337,0.00002816361,0.000008609737,0.0021132,0.000008190013,0.005495834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0318449,"threshold_uncertainty_score":0.231052,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3049290070","doi":"","title":"Holes in the Social Safety Net: Poverty, Inequality and Social Assistance in Canada","year":2020,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Poverty; Safety net; Welfare dependency; Welfare; Social policy; Demographic economics; Government (linguistics); Dependency ratio; Inequality; Minimum wage; Economic growth; Economics; Political science; Labour economics; Demography; Sociology; Population","authors":[{"name":"Inez Hillel","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1261694385789848,"gpt":0.4043937127153335,"spread":0.2782242741363487,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001611376,0.0003003677,0.0004398278,0.002955626,0.01720992,0.006066739,0.001475928,0.001321016,0.007187265],"category_scores_gemma":[0.004544114,0.0003788222,0.0004515292,0.006365784,0.003181443,0.00159329,0.003594731,0.002504392,0.0002994216],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.214696,"about_ca_system_score_gemma":0.4308938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993254,"about_ca_topic_score_gemma":0.9997185,"domain_scores_codex":[0.9964169,0.0001952514,0.00005995523,0.0001111821,0.001293828,0.001922839],"domain_scores_gemma":[0.9945767,0.0003519339,0.0002762905,0.00006407667,0.001868695,0.002862315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001612099,0.0002275827,0.2565137,0.0007404819,0.0001291524,0.001258811,0.02684077,0.002091876,0.000480335,0.1461372,0.3675816,0.1978373],"study_design_scores_gemma":[0.00004693818,0.00006654124,0.5255024,0.00144439,0.00007734061,0.0001929952,0.05971165,0.001950458,0.000342882,0.007717032,0.4027524,0.0001950255],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4634343,0.03077388,0.0008522351,0.298486,0.001189878,0.0003375244,0.01112034,0.0001633055,0.1936426],"genre_scores_gemma":[0.9294535,0.01686664,0.001150279,0.01172732,0.0001326515,0.00008546779,0.00177934,0.00005920023,0.03874559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.214696,"threshold_uncertainty_score":0.9108413,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3046455153","doi":"","title":"The Improved Labour Market Performance of New Immigrants to Canada, 2006-2019","year":2020,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Demographic economics; Economics; Labour economics; Unemployment rate; Geography; Economic growth","authors":[{"name":"Kimberly Wong","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04083481448677322,"gpt":0.3408928604563348,"spread":0.3000580459695615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007193712,0.0002351856,0.0003135032,0.001504186,0.002715097,0.00178613,0.0008212575,0.0004243659,0.002389384],"category_scores_gemma":[0.002230044,0.0001228707,0.000389161,0.003451299,0.0005998153,0.0005890072,0.001048101,0.0008632232,0.0004326581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02579845,"about_ca_system_score_gemma":0.04216982,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928151,"about_ca_topic_score_gemma":0.9970674,"domain_scores_codex":[0.9992685,0.00002219109,0.00003296042,0.00005775682,0.000267375,0.0003511214],"domain_scores_gemma":[0.9979352,0.00003889335,0.0003389801,0.00003269649,0.000999,0.000655219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002570098,0.000100007,0.9290363,0.0002057013,0.00007659912,0.0003430928,0.005248143,0.000625106,0.0004511044,0.0009230537,0.01638674,0.04634723],"study_design_scores_gemma":[0.000004995798,0.00002329582,0.9884021,0.0000473362,0.000009305206,0.00004142857,0.002794608,0.0001327616,0.00007569383,0.00002628402,0.008426873,0.00001527358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652351,0.001372222,0.0000949446,0.002924439,0.00009043655,0.00005085538,0.01822961,0.00002847705,0.01197384],"genre_scores_gemma":[0.9820985,0.001282222,0.0001558634,0.0004026646,0.00003920759,0.00002286666,0.008094138,0.00001320125,0.007891363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02579845,"threshold_uncertainty_score":0.1871818,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3122245510","doi":"","title":"A Comparison of Inequality and Living Standards in Canada and the United States Using an Expanded Measure of Economic Well-Being","year":2012,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Psychological Well-being and Life Satisfaction","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Gini coefficient; Standard of living; Inequality; Economics; Economic inequality; Demographic economics; Consumption (sociology); Personal income; Median income; Demography; Economic growth; Mathematics; Sociology; Population","authors":[{"name":"Edward N. Wolff","is_ca":false},{"name":"Ajit Zacharias","is_ca":false},{"name":"Thomas Masterson","is_ca":false},{"name":"Selçuk Eren","is_ca":false},{"name":"Andrew Sharpe","is_ca":false},{"name":"Elspeth Hazell","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1499271883438947,"gpt":0.4704006801898055,"spread":0.3204734918459108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006137564,0.0002291123,0.0003623266,0.004047118,0.001987687,0.001513322,0.0004561754,0.0001551826,0.002038849],"category_scores_gemma":[0.003169031,0.0000920354,0.000373417,0.01026093,0.0006076495,0.0004646584,0.001164558,0.0004808362,0.0001202658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01468856,"about_ca_system_score_gemma":0.01420612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906081,"about_ca_topic_score_gemma":0.9939022,"domain_scores_codex":[0.9990182,0.00006609765,0.00003959157,0.00008704844,0.0004522058,0.0003368607],"domain_scores_gemma":[0.9976152,0.000178142,0.0002920772,0.00006143338,0.001362801,0.0004904101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001319411,0.0000579252,0.9659842,0.00004562089,0.0001414697,0.0001166235,0.001959366,0.0009679834,0.0001686949,0.002939701,0.003587841,0.02389861],"study_design_scores_gemma":[0.000003003597,0.000009321519,0.9966205,0.00002106993,0.00001253616,0.00001593545,0.001028584,0.0003359724,0.00004120609,0.00008940312,0.001812887,0.000009425436],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769034,0.000637522,0.0001924061,0.0003759735,0.00001624987,0.00002503837,0.005388072,0.00001353907,0.01644773],"genre_scores_gemma":[0.9949777,0.0003211664,0.0001812328,0.00004744452,0.000006237092,0.0000124596,0.003565247,0.000005511117,0.0008830485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468856,"threshold_uncertainty_score":0.1065735,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111890146","doi":"","title":"The Growth of Diamond Mining in Canada and Implications for Mining Productivity","year":2004,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Diamond; Productivity; Production (economics); Value (mathematics); Investment (military); Mining industry; Agricultural economics; Business; Consumption (sociology); Natural resource economics; Economics; Demographic economics; Mining engineering; Engineering; Economic growth; Political science; Law; Mathematics; Metallurgy","authors":[{"name":"Jeremy Smith","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05275980907689377,"gpt":0.3068779243114005,"spread":0.2541181152345067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007032134,0.0004346175,0.0004397394,0.002977049,0.003700092,0.004887634,0.001278463,0.0008906221,0.006870416],"category_scores_gemma":[0.004683636,0.000274994,0.0008016878,0.008774433,0.001441582,0.001378507,0.001694047,0.001495134,0.0006235781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1249043,"about_ca_system_score_gemma":0.1183068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9978206,"about_ca_topic_score_gemma":0.9979949,"domain_scores_codex":[0.9982997,0.00006225466,0.00003474302,0.0001067236,0.0006774396,0.0008192306],"domain_scores_gemma":[0.9956352,0.0002504296,0.0002799366,0.00004662888,0.002798616,0.0009891257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006114467,0.0002191782,0.6125219,0.0008096526,0.0003140487,0.00261882,0.004926065,0.03456897,0.002068122,0.08129956,0.09693185,0.1631105],"study_design_scores_gemma":[0.000054162,0.00008056256,0.8284672,0.0007432492,0.0001209355,0.0003773542,0.01739774,0.01833598,0.001179133,0.01110354,0.1219795,0.0001605629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.771399,0.01478093,0.001760138,0.05710695,0.0003598326,0.000110102,0.02691657,0.0002711767,0.1272953],"genre_scores_gemma":[0.966535,0.01050395,0.0008693485,0.0007457646,0.00002923888,0.00001626408,0.00297524,0.00004508254,0.01828012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1249043,"threshold_uncertainty_score":0.9062485,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3003391565","doi":"","title":"An Infrastructure Index for Remote Indigenous Communities","year":2019,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Indigenous; Census; Geography; Metis; Index (typography); Metropolitan area; Socioeconomics; Remote sensing; Population; Medicine; Environmental health; Ecology; Sociology; Archaeology","authors":[{"name":"Nicole Johnston","is_ca":false},{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08250200079959302,"gpt":0.4554083754160176,"spread":0.3729063746164246,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004639363,0.0003245667,0.0001640018,0.004971486,0.001408178,0.001123505,0.0005150815,0.0001964312,0.00423329],"category_scores_gemma":[0.002376893,0.0001113981,0.0003283757,0.003925985,0.000331045,0.0006510172,0.001635207,0.0003229721,0.0004689202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003077136,"about_ca_system_score_gemma":0.003852477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4385339,"about_ca_topic_score_gemma":0.5809347,"domain_scores_codex":[0.9995337,0.00004317383,0.00003107397,0.00004135086,0.0002109995,0.0001397551],"domain_scores_gemma":[0.9988457,0.00005791447,0.0002344326,0.00004813731,0.0005932888,0.0002204426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007549034,0.0001189001,0.9021771,0.0001872894,0.00008291387,0.0002650814,0.007609513,0.001366271,0.00110291,0.002968565,0.005465083,0.07858086],"study_design_scores_gemma":[0.000003546522,0.00004595714,0.9785314,0.00005673954,0.00002685082,0.0001689754,0.00831349,0.001047175,0.0003416038,0.0004307846,0.01100974,0.00002370065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437768,0.000253628,0.001776844,0.0002018637,0.00002274345,0.0002826979,0.005921157,0.00008779808,0.04767651],"genre_scores_gemma":[0.9872119,0.0002242006,0.003983108,0.00002160778,0.00001022783,0.0001588707,0.003901665,0.00001414727,0.004474211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4385339,"threshold_uncertainty_score":0.8719627,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092337106","doi":"","title":"Literature Review on Best Practices in Government-Funded Services Supporting the Resettlement and Integration of Government-Assisted Refugees","year":2020,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Refugee; Government (linguistics); Citizenship; Political science; Economic growth; Settlement (finance); Immigration; Best practice; Mental health; Public administration; Business; Politics; Medicine; Law","authors":[{"name":"Ghada Abid","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3435926133482311,"gpt":0.5816068797169386,"spread":0.2380142663687075,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01843365,0.0008963878,0.001818481,0.01851485,0.002166777,0.005477126,0.002339263,0.001806717,0.003850122],"category_scores_gemma":[0.05801894,0.000805672,0.002218945,0.02845696,0.002133547,0.0032094,0.001884787,0.001976447,0.0005481121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01869438,"about_ca_system_score_gemma":0.09520504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3441356,"about_ca_topic_score_gemma":0.470327,"domain_scores_codex":[0.9871706,0.004377561,0.003253505,0.0006647561,0.003807143,0.0007263346],"domain_scores_gemma":[0.926876,0.04681608,0.006332987,0.0009697188,0.01762564,0.001379626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000133629,0.00008339298,0.004529234,0.3361799,0.0008597868,0.0005188557,0.01025304,0.0006663086,0.0002796812,0.006664091,0.05471568,0.5851164],"study_design_scores_gemma":[0.00002247733,0.00004820901,0.009844956,0.7759819,0.001482076,0.0003201586,0.008225992,0.00009942114,0.0002504305,0.0008793779,0.2027917,0.00005329502],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001354783,0.9888736,0.0002432759,0.004974901,0.0003591564,0.00007089246,0.0003036921,0.00001258344,0.003807102],"genre_scores_gemma":[0.009397977,0.9878577,0.0009486603,0.001229843,0.00009567916,0.00006506775,0.0002277312,0.000006021626,0.0001712118],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3441356,"threshold_uncertainty_score":0.6842651,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1537789413","doi":"","title":"A Comparison of Canadian and U.S. Labour Market Performance, 1989-2000","year":2001,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Unemployment and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Unemployment; Labour economics; Productivity; Wage; Standard of living; Population; Per capita income; Per capita; Inflation (cosmology); Demographic economics; Economic growth; Market economy","authors":[{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1223251649529691,"gpt":0.3143317575826897,"spread":0.1920065926297206,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007184983,0.0003139359,0.0002762432,0.003082455,0.002341895,0.001619225,0.0007266513,0.0003584604,0.004084912],"category_scores_gemma":[0.002357717,0.0001560837,0.0003998274,0.01076613,0.0003610816,0.0005026847,0.0006876752,0.0004518629,0.0006935552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03262775,"about_ca_system_score_gemma":0.03277051,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.997033,"about_ca_topic_score_gemma":0.9988812,"domain_scores_codex":[0.9991942,0.00002248262,0.00003433662,0.00007823012,0.0003495945,0.0003211708],"domain_scores_gemma":[0.9975374,0.00006412575,0.0001831109,0.0000284843,0.001845847,0.0003410632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004607299,0.0001131808,0.861517,0.0002844121,0.0001452641,0.0001790846,0.004577506,0.001331128,0.0004067521,0.003177768,0.05235617,0.07545108],"study_design_scores_gemma":[0.000004511158,0.00001103232,0.9885621,0.00002596878,0.00001219479,0.00001921411,0.001431299,0.0002293944,0.00007814778,0.00002413199,0.00959176,0.00001026779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8931262,0.002845332,0.0001544195,0.002709926,0.00008161824,0.00004938048,0.06142754,0.00005706828,0.03954842],"genre_scores_gemma":[0.9619492,0.002221617,0.000206468,0.0002355015,0.00002342162,0.00001818535,0.02626396,0.00001653545,0.00906516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03262775,"threshold_uncertainty_score":0.236732,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1522074562","doi":"","title":"State of the Evidence on Health as a Determinant of Productivity","year":2011,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Global Health Care Issues","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Demographic economics; Work (physics); Development economics; Labour economics; Economic growth","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Alexander G. Murray","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.5677657009010232,"gpt":0.6249834597160063,"spread":0.05721775881498314,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01597359,0.000910073,0.001970792,0.00725473,0.001768252,0.008052879,0.004349426,0.00287678,0.01196154],"category_scores_gemma":[0.04351056,0.0008241138,0.002274351,0.01256898,0.007554245,0.001819859,0.002572653,0.003121838,0.001386503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224138,"about_ca_system_score_gemma":0.02590814,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5669236,"about_ca_topic_score_gemma":0.4778038,"domain_scores_codex":[0.991532,0.001811598,0.001114402,0.001458287,0.002938741,0.001144952],"domain_scores_gemma":[0.8724859,0.07881565,0.02050618,0.00377319,0.02030638,0.004112659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001219425,0.0004190209,0.6487867,0.02287909,0.005929326,0.000419276,0.001533869,0.0009478673,0.0003114885,0.01542588,0.0238345,0.2782935],"study_design_scores_gemma":[0.0001233059,0.000369347,0.8708833,0.03494482,0.007533753,0.0002698535,0.003490919,0.0006665341,0.0004958985,0.006649954,0.07438497,0.0001872772],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04265488,0.8924198,0.0005049825,0.03780255,0.0006894704,0.00002874052,0.003390058,0.00003963761,0.02246979],"genre_scores_gemma":[0.4090656,0.5724457,0.001038888,0.009662097,0.003098928,0.00003867215,0.003339508,0.0000312469,0.00127924],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5669236,"threshold_uncertainty_score":0.8712537,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3142421406","doi":"","title":"What Explains the Rising Profit Share in Canada","year":2020,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Gross profit; Economics; Wage share; Earnings per share; Measures of national income and output; Net profit; Income shares; Profit (economics); Share capital; Income distribution; National accounts; Valuation (finance); Labour economics; Net national income; Monetary economics; Business; Gross income; Market economy; Finance; Earnings; Corporate governance; Tax reform; State income tax; Wage","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Cristina Blanco Iglesias","is_ca":false},{"name":"Myeongwan Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1795276718470521,"gpt":0.4094642096019894,"spread":0.2299365377549373,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004954379,0.0002357741,0.0002980033,0.002547115,0.004370736,0.003583962,0.00110615,0.0005277155,0.006911199],"category_scores_gemma":[0.003131978,0.0002206562,0.0004613362,0.00731976,0.001424246,0.001292109,0.00118695,0.001046948,0.000531576],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07869923,"about_ca_system_score_gemma":0.0641232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9971256,"about_ca_topic_score_gemma":0.9977862,"domain_scores_codex":[0.9986298,0.0000209745,0.00003532987,0.0001316071,0.0005217262,0.0006605454],"domain_scores_gemma":[0.996968,0.0001268288,0.0003950085,0.00008510635,0.001828281,0.0005968465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002168527,0.00005356588,0.7391831,0.000371349,0.000116699,0.002228052,0.01282641,0.001985634,0.001986113,0.0556757,0.091768,0.09358843],"study_design_scores_gemma":[0.00001118778,0.00001578393,0.894816,0.0002539538,0.00004311768,0.000350759,0.01252094,0.001769946,0.001026414,0.001869101,0.08725298,0.00006986206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8318907,0.007731599,0.0005549378,0.03500634,0.0002690418,0.0000642541,0.01591133,0.0002027913,0.1083691],"genre_scores_gemma":[0.9839777,0.002491005,0.0002215688,0.0007989079,0.00004269834,0.000005921091,0.001976347,0.00003823055,0.01044744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9213008,"threshold_uncertainty_score":0.5710056,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2965578205","doi":"","title":"Household Incomes in Canada and the United States: Who is Better Off?","year":2019,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Total personal income; Income distribution; Demographic economics; Distribution (mathematics); Per capita; Household income; Per capita income; Percentage point; Inequality; Economic inequality; Geography; Socioeconomics; Demography; Gross income; Population; Public economics; Sociology","authors":[{"name":"Simon Lapointe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04901910253803217,"gpt":0.3382835468604085,"spread":0.2892644443223764,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056174,0.0002000344,0.0004344772,0.003000991,0.007697726,0.003979631,0.0006518603,0.0005542865,0.004445551],"category_scores_gemma":[0.003499447,0.0001385744,0.0003028821,0.008471154,0.002554794,0.001603897,0.002040438,0.001533463,0.0002214525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05980387,"about_ca_system_score_gemma":0.06496147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963874,"about_ca_topic_score_gemma":0.9978345,"domain_scores_codex":[0.9981134,0.0001510219,0.00004347445,0.00009099076,0.000556386,0.001044832],"domain_scores_gemma":[0.9973212,0.000150926,0.0002316226,0.00003340059,0.001157025,0.001105856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002602618,0.0001247383,0.5590969,0.0003716204,0.00015584,0.0008702963,0.03995018,0.0008883009,0.0001956385,0.1026939,0.1440129,0.1513793],"study_design_scores_gemma":[0.00001237799,0.00002069563,0.8167543,0.0006955372,0.00004644927,0.0001194467,0.07833938,0.0003323966,0.000115726,0.004274852,0.09921768,0.0000712565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6928833,0.02044423,0.0003437032,0.09108976,0.0006107501,0.00005107699,0.00984777,0.0000422173,0.1846873],"genre_scores_gemma":[0.9818208,0.008098244,0.0002118068,0.003192279,0.0001022448,0.00001684831,0.001516239,0.00001839305,0.005023072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05980387,"threshold_uncertainty_score":0.4339095,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2649084691","doi":"","title":"The Gap Year: An Overview of the Issues","year":2017,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Tourism, Volunteerism, and Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Disadvantaged; Gender gap; Generation gap; Context (archaeology); Socioeconomic status; Poverty; Economic growth; Population; Political science; Psychology; Demographic economics; Sociology; Geography; Economics; Demography","authors":[{"name":"Jacob Greenspon","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2963655962905089,"gpt":0.5117857433445939,"spread":0.215420147054085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005295885,0.0006089148,0.0005665224,0.005851971,0.007077582,0.007856762,0.002180244,0.00330411,0.006360776],"category_scores_gemma":[0.007369993,0.0003614379,0.0006481752,0.008620311,0.005140803,0.006435379,0.003961719,0.004691585,0.001000669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01523668,"about_ca_system_score_gemma":0.04229312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3452294,"about_ca_topic_score_gemma":0.4656725,"domain_scores_codex":[0.9973143,0.0005427163,0.0002164251,0.0001742141,0.001059954,0.0006924541],"domain_scores_gemma":[0.9911978,0.002968105,0.0007191265,0.0001459983,0.002661488,0.002307505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007321048,0.0001406677,0.01114569,0.006225722,0.00002539497,0.001316209,0.009934767,0.0003542095,0.0002707428,0.05589365,0.2024401,0.7121797],"study_design_scores_gemma":[0.000002678505,0.00003697531,0.01431318,0.01000807,0.00003065071,0.001476678,0.03135958,0.00009193025,0.0001099792,0.006088709,0.9364203,0.00006129116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006798552,0.8237236,0.001263402,0.1250701,0.007827261,0.00008132809,0.0004148712,0.00008223177,0.03473858],"genre_scores_gemma":[0.05452506,0.915442,0.001916442,0.01347249,0.004475412,0.00009005928,0.0003773136,0.00005640949,0.009644855],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3452294,"threshold_uncertainty_score":0.68644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1572461079","doi":"","title":"Aboriginal Labour Market Performance in Canada: 2007-2011","year":2012,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Labour economics; Recession; Economics; Business; Demographic economics","authors":[{"name":"Kar-Fai Gee","is_ca":false},{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04443285337439347,"gpt":0.3739037187943877,"spread":0.3294708654199943,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00114205,0.0004970893,0.0005994681,0.003425399,0.005261908,0.00236665,0.001470825,0.0004966912,0.002683446],"category_scores_gemma":[0.002722168,0.0003044742,0.0005855907,0.00807512,0.0008890387,0.0006902464,0.001619541,0.001189623,0.0006727864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07945701,"about_ca_system_score_gemma":0.1036832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985566,"about_ca_topic_score_gemma":0.999343,"domain_scores_codex":[0.998167,0.00005901233,0.00007097801,0.0001115591,0.0008385899,0.0007526605],"domain_scores_gemma":[0.9957545,0.00008806914,0.0003800766,0.00006369838,0.00289549,0.0008181019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003044245,0.000156871,0.8410792,0.0007120798,0.0002027036,0.0005498922,0.02111465,0.001441163,0.000646356,0.002963083,0.05339454,0.07743505],"study_design_scores_gemma":[0.000005518089,0.00002926704,0.9663648,0.0001285943,0.00003323013,0.00006949851,0.009452995,0.0003983022,0.0001914464,0.00005329824,0.02323667,0.0000364663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171664,0.005293233,0.0003163724,0.00402446,0.0001578167,0.0001474838,0.04533819,0.0001211907,0.02743497],"genre_scores_gemma":[0.9549872,0.004530257,0.0008695289,0.000487163,0.00004431219,0.0000929414,0.02182191,0.00004814137,0.01711853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07945701,"threshold_uncertainty_score":0.5765037,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1563462936","doi":"","title":"Assessing Canada's Ability to Compete for Foreign Direct Investment","year":2008,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Attractiveness; International economics; Business; Human capital; International trade; Economics; Economic growth; Macroeconomics","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Meghna Banerjee","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1958286559714889,"gpt":0.4473476436594634,"spread":0.2515189876879745,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462271,0.0002790345,0.0001987187,0.002638137,0.002972222,0.003399556,0.0006388985,0.0005505644,0.004596529],"category_scores_gemma":[0.006107557,0.0001245271,0.000368503,0.004215281,0.0006842962,0.0005842956,0.0009070712,0.0005295075,0.000562965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03719134,"about_ca_system_score_gemma":0.05561974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9894081,"about_ca_topic_score_gemma":0.994593,"domain_scores_codex":[0.9965732,0.0001413221,0.00008469234,0.0001300049,0.002163432,0.0009072918],"domain_scores_gemma":[0.9908998,0.0005122595,0.0006109185,0.000124953,0.006220197,0.001631846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002003394,0.0001797356,0.8241117,0.0002531195,0.0001666877,0.0005174919,0.002190461,0.008019645,0.001765132,0.02246095,0.04590287,0.09423186],"study_design_scores_gemma":[0.00002751436,0.0001222449,0.9001763,0.000127373,0.00006881791,0.0001712514,0.005433118,0.004928806,0.001676181,0.0006431833,0.08653796,0.00008724373],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756778,0.001436533,0.0004581075,0.00392357,0.00005544851,0.0001312154,0.007875875,0.00009785951,0.2103436],"genre_scores_gemma":[0.9802476,0.0007653682,0.0006818401,0.0002484009,0.00001234087,0.00001955987,0.00257874,0.0000146703,0.0154315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03719134,"threshold_uncertainty_score":0.2698433,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3125351386","doi":"","title":"Sustainable Governance Indicators","year":2014,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Corporate governance; Government (linguistics); Commons; Quality (philosophy); House of Commons; Business; Sustainable development; Political science; Politics; Law; Finance","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Anke S. Kessler","is_ca":false},{"name":"Martin Thunert","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01917461687869956,"gpt":0.3448338257878763,"spread":0.3256592089091768,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005693525,0.001129329,0.0005273474,0.0201194,0.001593045,0.003716961,0.001513771,0.0005089185,0.01515955],"category_scores_gemma":[0.01329859,0.0003051717,0.0005661873,0.02914151,0.00081747,0.001833901,0.002630255,0.001561736,0.003736178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02450488,"about_ca_system_score_gemma":0.06186178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7204608,"about_ca_topic_score_gemma":0.7956433,"domain_scores_codex":[0.9867351,0.0006898851,0.000778336,0.0004644829,0.009680716,0.001651565],"domain_scores_gemma":[0.9748301,0.0005640309,0.001840166,0.000624211,0.02050161,0.001639981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009491138,0.0001325854,0.07599399,0.001175845,0.00009852212,0.0000761047,0.0007484799,0.002958323,0.0005544071,0.08185433,0.6693147,0.1669978],"study_design_scores_gemma":[0.00001285331,0.00003311691,0.1242469,0.0004107792,0.00002116475,0.00004363415,0.0007473867,0.0009131551,0.0005679908,0.003876196,0.8690907,0.00003604643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0181414,0.002501186,0.006469446,0.003700746,0.0005019138,0.001404263,0.3394888,0.001275836,0.6265164],"genre_scores_gemma":[0.1618077,0.005691032,0.03119271,0.001013533,0.0001363112,0.002193328,0.5917833,0.0005038497,0.2056783],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7204608,"threshold_uncertainty_score":0.5623708,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1491470503","doi":"","title":"Productivity Growth in Service Industries: A Canadian Success Story","year":2004,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Tertiary sector of the economy; Productivity; Multifactor productivity; Human capital; Labour economics; Economics; Capital intensity; Service (business); Total factor productivity; Demographic economics; Sectoral analysis; Economic growth; Economy; Macroeconomics","authors":[{"name":"Someshwar Rao","is_ca":false},{"name":"Andrew Sharpe","is_ca":false},{"name":"Jianmin Tang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1192250162995873,"gpt":0.3092555309283613,"spread":0.190030514628774,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003463695,0.0006883771,0.0005546794,0.00592144,0.005405175,0.006244365,0.001169814,0.0009852495,0.005067592],"category_scores_gemma":[0.01165675,0.0002621453,0.0005905401,0.01701949,0.002644648,0.001988452,0.002412207,0.002505211,0.0006869003],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08890107,"about_ca_system_score_gemma":0.1117791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9907373,"about_ca_topic_score_gemma":0.9909101,"domain_scores_codex":[0.9944812,0.0001852514,0.0001470636,0.0002528717,0.003248671,0.0016849],"domain_scores_gemma":[0.9816638,0.0009666338,0.001124724,0.0003805677,0.0123028,0.003561466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005227876,0.0002271773,0.2606381,0.001007932,0.0001962081,0.001795043,0.01330922,0.003515218,0.001362948,0.1803403,0.1822077,0.3548774],"study_design_scores_gemma":[0.00005087864,0.0001186283,0.6174957,0.0005784617,0.0001069496,0.0004637685,0.01032825,0.002171492,0.001306321,0.005566237,0.3616696,0.0001437307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4575787,0.03339428,0.001088166,0.1735155,0.0008228446,0.000112345,0.01033222,0.0003700081,0.3227859],"genre_scores_gemma":[0.9569541,0.02205801,0.0005822806,0.001815565,0.0002116652,0.0000250665,0.002066046,0.00009112528,0.01619616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.911099,"threshold_uncertainty_score":0.6450255,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1585308259","doi":"","title":"The Impact of the Oil Boom on Canada's Labour Productivity Performance","year":2014,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Boom; Productivity; Oil boom; Economics; Labour economics; Business; Natural resource economics; Environmental science; Economic growth; Macroeconomics; Environmental engineering","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Bert Waslander","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0395984247930094,"gpt":0.3763331084640222,"spread":0.3367346836710128,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089357,0.0003221704,0.0003321486,0.001951742,0.003579882,0.003881762,0.0006788264,0.00058679,0.003436635],"category_scores_gemma":[0.004575271,0.0001369569,0.0003386908,0.005385827,0.001396185,0.0007217873,0.00145861,0.00113354,0.0003489742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08556064,"about_ca_system_score_gemma":0.1111976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996488,"about_ca_topic_score_gemma":0.9979681,"domain_scores_codex":[0.9974046,0.0001158363,0.00005197697,0.0001006309,0.0009071105,0.001419819],"domain_scores_gemma":[0.9959666,0.0002548803,0.0004135645,0.00005529,0.002212506,0.001097198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006096931,0.0001318017,0.7861396,0.0003583302,0.000260064,0.0008367086,0.005879992,0.01284885,0.001343463,0.04499954,0.04384526,0.1027468],"study_design_scores_gemma":[0.00001684741,0.00005666212,0.9472647,0.000158666,0.00004785118,0.00005172984,0.006516709,0.002250997,0.0005116593,0.001157907,0.04192049,0.00004571119],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8815097,0.003886896,0.0003387073,0.02152382,0.0001653964,0.00003429328,0.008582459,0.00006436598,0.08389436],"genre_scores_gemma":[0.9896021,0.001787368,0.0001456418,0.000394594,0.00002940454,0.000005608589,0.001338671,0.00001010734,0.006686557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08556064,"threshold_uncertainty_score":0.6207888,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2263787506","doi":"","title":"The Evolution of Manufacturing Employment in Canada: The Role of Outsourcing","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Outsourcing; Manufacturing; Business; Labour economics; Wage share; Industrial organization; Economics; Wage; Marketing; Efficiency wage","authors":[{"name":"Evan Capeluck","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.08149547392637321,"gpt":0.2807292056876826,"spread":0.1992337317613094,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005731652,0.0002712557,0.0003613936,0.002528474,0.002921862,0.002447758,0.0009547363,0.0004584643,0.002942007],"category_scores_gemma":[0.002725872,0.000187592,0.0004440822,0.007054647,0.0008028376,0.0005949595,0.001041425,0.0008339937,0.0002557854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06360808,"about_ca_system_score_gemma":0.06227633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977214,"about_ca_topic_score_gemma":0.9984336,"domain_scores_codex":[0.998869,0.00004131568,0.00002952651,0.0000751937,0.0004859458,0.0004989704],"domain_scores_gemma":[0.9971153,0.0001661514,0.0004434762,0.00004804236,0.001680526,0.0005465064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002310588,0.00007826291,0.9111175,0.000143635,0.00009369658,0.0006781169,0.003046262,0.005488933,0.0008832583,0.008740385,0.01052964,0.05896924],"study_design_scores_gemma":[0.00000627968,0.00001802818,0.982971,0.00005735542,0.00002066483,0.00006882966,0.003171335,0.00241962,0.00035306,0.0002124823,0.01068165,0.00001978804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657052,0.002904428,0.0002977425,0.004676135,0.00003557146,0.0000298894,0.00670136,0.0000404122,0.01960928],"genre_scores_gemma":[0.991302,0.001363941,0.0002338301,0.0001335983,0.00001285261,0.000005104271,0.001600089,0.00001054565,0.005337961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06360808,"threshold_uncertainty_score":0.4615111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1490064423","doi":"","title":"Best Practices In Labour Market Information: Reccomendations for Canada's LMI System","year":2009,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Quality (philosophy)","authors":[{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.10708090270084,"gpt":0.4389543043220471,"spread":0.3318734016212072,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1124143,0.0007215305,0.0008054643,0.01258088,0.01821596,0.03369013,0.006982153,0.005680648,0.01441172],"category_scores_gemma":[0.1962237,0.00111709,0.0009534413,0.02029182,0.008794251,0.01143052,0.008574676,0.006053403,0.002816472],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1742285,"about_ca_system_score_gemma":0.4337038,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9755397,"about_ca_topic_score_gemma":0.979825,"domain_scores_codex":[0.8789079,0.03231311,0.008384669,0.003391701,0.06304951,0.01395317],"domain_scores_gemma":[0.7003134,0.05013245,0.009797814,0.02335959,0.1872458,0.02915089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000900824,0.0001804742,0.02420236,0.001124298,0.00004654008,0.0005339,0.02263434,0.001742661,0.001060542,0.06864304,0.4664536,0.4132882],"study_design_scores_gemma":[0.00003942195,0.00005672475,0.03070211,0.002198476,0.00004686529,0.0001736772,0.02030307,0.002604261,0.001344417,0.01061856,0.9316279,0.0002845446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02566683,0.0100987,0.01687115,0.7453422,0.001628942,0.001604323,0.004607327,0.002062334,0.1921182],"genre_scores_gemma":[0.5614209,0.02471829,0.1821649,0.07453904,0.001596928,0.001446355,0.008989738,0.001490331,0.1436335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8257715,"threshold_uncertainty_score":0.9577779,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2996816157","doi":"","title":"R&D Spillovers in Canadian Industry: Results from a New Micro Database","year":2019,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Subsidy; Spillover effect; Investment (military); Government (linguistics); Business; Production (economics); Key (lock); Rate of return; Finance; Industrial organization; Economics; Public economics; Monetary economics; Microeconomics; Market economy","authors":[{"name":"Myeongwan Kim","is_ca":false},{"name":"John Lester","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1463515810788695,"gpt":0.3432000681772944,"spread":0.1968484870984249,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001174779,0.0005755907,0.0006829968,0.01170764,0.001997118,0.002117128,0.001733821,0.0005833508,0.009302846],"category_scores_gemma":[0.007483113,0.0003451453,0.001145025,0.02917663,0.0003383694,0.0006070029,0.001260805,0.000490856,0.001905285],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02179274,"about_ca_system_score_gemma":0.03397237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9914188,"about_ca_topic_score_gemma":0.9937395,"domain_scores_codex":[0.9976527,0.00008885719,0.0002102681,0.0003123305,0.001254847,0.0004810565],"domain_scores_gemma":[0.9873142,0.001165254,0.002231759,0.000610377,0.007554011,0.001124452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006045357,0.0002249478,0.8629843,0.0009399395,0.0005500309,0.0003110822,0.0007161977,0.002270126,0.0003375965,0.00109075,0.08446314,0.04550724],"study_design_scores_gemma":[0.00004162997,0.00002985045,0.969197,0.00006806222,0.0001599297,0.00006164116,0.0005278956,0.00115408,0.0002015988,0.00006790966,0.02845294,0.00003747943],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3572888,0.003077418,0.0005937902,0.0007948701,0.0000353956,0.0002928353,0.6258158,0.0002448084,0.01185619],"genre_scores_gemma":[0.5167545,0.004517665,0.001856068,0.0002918826,0.00005367772,0.0003229672,0.4574653,0.00008346704,0.01865454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9782073,"threshold_uncertainty_score":0.1581181,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2266372770","doi":"","title":"A Detailed Analysis of Productivity Trends in the Forest Products Sector in Quebec, 2000-2013: Adversity Drives Productivity","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Productivity; Forest product; Investment (military); Logging; Natural resource economics; Business; Product (mathematics); Human capital; Multifactor productivity; Economics; Agricultural economics; Economic growth; Forest management; Total factor productivity; Forestry; Geography; Political science","authors":[{"name":"Jasmin Thomas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0635084442211657,"gpt":0.3277794533486049,"spread":0.2642710091274392,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005061238,0.0003113434,0.0002454158,0.002744031,0.001165614,0.002074562,0.0006982004,0.0003177468,0.004619595],"category_scores_gemma":[0.001586278,0.0001459655,0.0004627308,0.008041118,0.0003964637,0.0005540263,0.0004648099,0.0005349903,0.0005877668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03548625,"about_ca_system_score_gemma":0.03288532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953642,"about_ca_topic_score_gemma":0.9972538,"domain_scores_codex":[0.9994152,0.00002241014,0.00002321582,0.00006023454,0.0002288089,0.0002500927],"domain_scores_gemma":[0.9976599,0.0001177454,0.0002593503,0.00004647724,0.00160621,0.0003103281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001560881,0.00006864787,0.9021057,0.0001838948,0.0001647391,0.0003220736,0.0009865041,0.004718537,0.001573118,0.002740461,0.03182718,0.05515306],"study_design_scores_gemma":[0.000001897091,0.00001061571,0.9869549,0.00002814715,0.00001409202,0.00002116985,0.0007333383,0.001222402,0.0001957462,0.00003691172,0.0107689,0.00001193649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561217,0.002821269,0.00081856,0.003380701,0.00004589626,0.0001007243,0.1034855,0.0001660908,0.0330595],"genre_scores_gemma":[0.9517835,0.001725996,0.0005895715,0.0002122555,0.00001730683,0.00002932508,0.027449,0.00002510198,0.01816781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03548625,"threshold_uncertainty_score":0.257472,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1497646479","doi":"","title":"Economic Activity of the On-Reserve Aboriginal Identity Population in Canada: Gross Domestic Product Estimates for Indian Reserves, 2000 and 2005","year":2011,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Earnings; Population; Gross domestic product; Census; Economics; Estimation; Demographic economics; Geography; Economic growth; Demography; Finance; Sociology","authors":[{"name":"Evguenia Tsiroulnitchenko","is_ca":false},{"name":"Elspeth Hazell","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.123137657923574,"gpt":0.4694688714358675,"spread":0.3463312135122935,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000294965,0.0003712985,0.0002074942,0.00402032,0.001492478,0.001066117,0.0006923339,0.0001204557,0.001661998],"category_scores_gemma":[0.0008915424,0.0001556392,0.0004485093,0.005674999,0.000320327,0.0002652624,0.0006374242,0.0003802128,0.0003715627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02457868,"about_ca_system_score_gemma":0.02933008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970362,"about_ca_topic_score_gemma":0.9981915,"domain_scores_codex":[0.9996364,0.00001314995,0.0000176797,0.0000249421,0.0002099096,0.00009798846],"domain_scores_gemma":[0.9991872,0.00002256179,0.00009120174,0.00001526253,0.0005633718,0.0001203049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001276579,0.00006199718,0.8386301,0.0005362588,0.0001709543,0.0003423348,0.005072703,0.002626004,0.0007750909,0.00257033,0.05890715,0.09017941],"study_design_scores_gemma":[0.000002979477,0.000008133665,0.9738379,0.00008085834,0.00003179297,0.00005788713,0.00176625,0.000747029,0.0002146495,0.00005836507,0.02317643,0.00001775998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7987096,0.00481387,0.001048284,0.001292659,0.00005947658,0.0001471975,0.1517073,0.0002939808,0.04192754],"genre_scores_gemma":[0.9181466,0.006705539,0.002554208,0.0001700227,0.00002436157,0.00007434001,0.04997106,0.00004600569,0.02230773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02457868,"threshold_uncertainty_score":0.1783316,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2281778058","doi":"","title":"Explanations of the Decline in Manufacturing Employment in Canada","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Outsourcing; Productivity; Labour economics; Economics; Liberian dollar; Competition (biology); Slowdown; Manufacturing; Manufacturing sector; Job loss; Business; Unemployment; Economic growth","authors":[{"name":"Evan Capeluck","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2020173953415612,"gpt":0.3253927341488876,"spread":0.1233753388073264,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008973817,0.0002444229,0.0003869187,0.002796472,0.006207993,0.002626918,0.001586596,0.0007629305,0.008396692],"category_scores_gemma":[0.003088563,0.000243053,0.0004797488,0.005433742,0.001454582,0.000632818,0.001333918,0.002019898,0.0005624946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07200573,"about_ca_system_score_gemma":0.05594079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994337,"about_ca_topic_score_gemma":0.9954463,"domain_scores_codex":[0.9985361,0.00003053075,0.00003277852,0.0001101236,0.0004347037,0.0008557534],"domain_scores_gemma":[0.9975406,0.0001382959,0.0002642577,0.00006096702,0.001440646,0.0005552432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000509016,0.0001182145,0.5750517,0.0004543468,0.0001109511,0.00417686,0.0133082,0.006482617,0.00379038,0.1316878,0.1389596,0.1253504],"study_design_scores_gemma":[0.00002618514,0.00002819479,0.8454774,0.0002575234,0.00002763875,0.0003436932,0.01315195,0.003744757,0.001313691,0.005096226,0.1304549,0.00007790596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7423104,0.008925125,0.001024843,0.0853788,0.0004273005,0.00008251444,0.01059809,0.0002728689,0.15098],"genre_scores_gemma":[0.9784878,0.002244353,0.0002786219,0.001917057,0.00005788706,0.00001126605,0.001748861,0.00003714511,0.01521699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07200573,"threshold_uncertainty_score":0.5224406,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2177574360","doi":"","title":"Benchmarking Metis Economic and Social Development","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Metis; Population; Geography; Socioeconomics; Economic growth; Political science; Demography; Sociology; Economics","authors":[{"name":"Jasmin Thomas","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.3458124094873427,"gpt":0.5311982265999455,"spread":0.1853858171126028,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005213491,0.0008946694,0.00060555,0.01393,0.003502531,0.004795617,0.001736996,0.0004239411,0.009016278],"category_scores_gemma":[0.01308214,0.000244811,0.0007131739,0.0197775,0.0007874963,0.001229595,0.003750213,0.0009558467,0.001480029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08301628,"about_ca_system_score_gemma":0.1700062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979556,"about_ca_topic_score_gemma":0.9775929,"domain_scores_codex":[0.987938,0.001014837,0.0004908202,0.0004094689,0.007552457,0.00259443],"domain_scores_gemma":[0.9821899,0.0004470856,0.0005989602,0.0003584972,0.01445577,0.00194966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003012844,0.0002642452,0.213946,0.001557336,0.0002371235,0.0002681001,0.004296235,0.008301491,0.0007015016,0.05716643,0.3102042,0.402756],"study_design_scores_gemma":[0.00002357852,0.00008769752,0.475228,0.0006960357,0.00005112527,0.00008001599,0.005351887,0.005274243,0.0007815329,0.001983776,0.5103394,0.0001026427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1436508,0.008548339,0.007818037,0.01391604,0.001157582,0.002121058,0.1849655,0.002028344,0.6357942],"genre_scores_gemma":[0.723322,0.009458517,0.02509741,0.001044359,0.0001639593,0.001349049,0.1180447,0.0005156633,0.1210044],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08301628,"threshold_uncertainty_score":0.6023281,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004022633","doi":"","title":"A Detailed Analysis of Newfoundland and Labrador's Productivity Performance, 1997-2018","year":2019,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Productivity; Business sector; Petroleum industry; Business; Agricultural economics; Economics; Geography; Economy; Engineering; Economic growth","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"John Tsang","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04496368053946059,"gpt":0.3614284307585204,"spread":0.3164647502190598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056978,0.000632314,0.0003194225,0.004730434,0.0009013222,0.00211703,0.0009071105,0.0002233335,0.005370741],"category_scores_gemma":[0.002427432,0.0002968359,0.0005157192,0.009033267,0.0004464715,0.0007613509,0.0009085429,0.000580734,0.002804001],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01695314,"about_ca_system_score_gemma":0.0142294,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9258992,"about_ca_topic_score_gemma":0.9338735,"domain_scores_codex":[0.9986024,0.00004735796,0.0001004059,0.0001775955,0.0004702705,0.0006020297],"domain_scores_gemma":[0.9961991,0.0001986869,0.0007377042,0.0001466566,0.00236891,0.0003488472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002954114,0.00009259421,0.8182759,0.0004592101,0.0002660453,0.0003926476,0.001555988,0.003298304,0.001303321,0.001063916,0.09997778,0.07301888],"study_design_scores_gemma":[0.000003074309,0.00001807027,0.976564,0.00004557818,0.00001545806,0.00003144863,0.0008166807,0.0002148925,0.0003004118,0.00001192676,0.02196687,0.00001144057],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6968575,0.00415182,0.0010575,0.002359115,0.0001704887,0.0001269253,0.2382436,0.0005100632,0.05652292],"genre_scores_gemma":[0.7260607,0.004012378,0.001131403,0.0003643118,0.0001095462,0.000109048,0.1824233,0.0001289078,0.08566033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9830468,"threshold_uncertainty_score":0.1490743,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124273044","doi":"","title":"The Levy Institute Measure of Economic Well-Being: Estimates for Canada, 1999 and 2005","year":2011,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Economic inequality; Sample (material); Demographic economics; Inequality","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Alexander G. Murray","is_ca":false},{"name":"Benjamin Evans","is_ca":false},{"name":"Elspeth Hazell","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1150216563876159,"gpt":0.2939498123987239,"spread":0.178928156011108,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001907584,0.0006393913,0.0005974111,0.01039037,0.002572719,0.002085268,0.001493644,0.000309113,0.002867501],"category_scores_gemma":[0.004448764,0.0003101873,0.0009411182,0.01800209,0.0005352918,0.0007849195,0.00151136,0.0009337896,0.0005189001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0608109,"about_ca_system_score_gemma":0.04872891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9970433,"about_ca_topic_score_gemma":0.9975197,"domain_scores_codex":[0.9977114,0.0000782572,0.0001000992,0.0001248544,0.001577726,0.0004076432],"domain_scores_gemma":[0.9940071,0.0001860417,0.000505766,0.000110861,0.004596595,0.0005935511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002689087,0.00008819524,0.7307127,0.0004764763,0.0004438484,0.0001317245,0.002635752,0.003601183,0.0002308173,0.01047528,0.1639576,0.08697747],"study_design_scores_gemma":[0.000009676806,0.00001338351,0.9514295,0.00007413577,0.00004737745,0.00003399661,0.0009303043,0.001117494,0.0001403158,0.0001793987,0.04597721,0.00004716933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4040105,0.009457096,0.00376224,0.003620795,0.000143316,0.0004163844,0.5135862,0.0004835246,0.06451992],"genre_scores_gemma":[0.6874064,0.007435045,0.006715188,0.0003960351,0.00006768161,0.0003879268,0.2734616,0.0001058265,0.02402435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0608109,"threshold_uncertainty_score":0.4412161,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3036008237","doi":"","title":"The Price Effect of Trade: Evidence of the China Shock and Canadian Consumer Prices","year":2020,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Consumer price index (South Africa); Inflation (cosmology); Price index; China; Monetary economics; Relative price; Personal consumption expenditures price index; Commodity; Shock (circulatory); Wholesale price index; Index (typography); Price level; International economics; Agricultural economics; Macroeconomics; Consumer confidence index; Monetary policy; Geography; Market economy","authors":[{"name":"Myeongwan Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.131639565209321,"gpt":0.3031476000062481,"spread":0.1715080347969271,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005751487,0.0002067217,0.0002433911,0.001327805,0.001484793,0.001319425,0.0004054731,0.0005357445,0.004400729],"category_scores_gemma":[0.004210613,0.0001597371,0.000483755,0.004266113,0.001231265,0.0005128212,0.0008387847,0.0008502346,0.0002472256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066767,"about_ca_system_score_gemma":0.01170238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9792712,"about_ca_topic_score_gemma":0.9771909,"domain_scores_codex":[0.9994024,0.00004090706,0.00002315443,0.0000637199,0.0002762521,0.0001935783],"domain_scores_gemma":[0.9952759,0.0005345391,0.001428969,0.0002167832,0.001998312,0.0005454293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001627094,0.00003003072,0.9806793,0.00004943133,0.00009497338,0.000272058,0.001367665,0.0005774566,0.0002580278,0.003036292,0.004833661,0.008638425],"study_design_scores_gemma":[0.000005182177,0.000007040901,0.9966534,0.00001148452,0.00002372778,0.00002145091,0.0008269332,0.0003895006,0.00008619542,0.0001223442,0.001841458,0.00001137796],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748592,0.0009057291,0.0001110192,0.003352589,0.00002185843,0.0000130992,0.002605839,0.00001377185,0.01811697],"genre_scores_gemma":[0.9966241,0.0006345632,0.00004153025,0.0001902169,0.00001525044,0.000002479763,0.001030353,0.000005378862,0.001456226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02072883,"threshold_uncertainty_score":0.07739973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2898730963","doi":"","title":"The Contribution of Métis To Future Labour Force Growth In Canada","year":2017,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Metis; Ethnic group; Population; Geography; Demography; Demographic economics; Political science; Sociology; Economics; Law","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Myeongwan Kim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05992774086469145,"gpt":0.4545841101348188,"spread":0.3946563692701274,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048748,0.000509241,0.0003649808,0.002029094,0.003986541,0.002831532,0.00116382,0.0005186996,0.004500093],"category_scores_gemma":[0.003033153,0.0002079301,0.0010461,0.003075743,0.000787562,0.001019991,0.002328207,0.001507593,0.0004753112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05511232,"about_ca_system_score_gemma":0.09927872,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936851,"about_ca_topic_score_gemma":0.9959495,"domain_scores_codex":[0.9981306,0.0001108414,0.00003858793,0.00008162188,0.0007587429,0.0008795807],"domain_scores_gemma":[0.9983128,0.00006845851,0.000113757,0.00003184779,0.001091976,0.0003811353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004121382,0.00008629248,0.6449476,0.0006909573,0.0004495022,0.001311018,0.01035739,0.03034897,0.001589912,0.06414586,0.06904262,0.1766178],"study_design_scores_gemma":[0.00003491554,0.00009652815,0.7192793,0.001138858,0.0002497299,0.0005282136,0.02295664,0.03781185,0.001358026,0.01122582,0.2051247,0.0001953915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7541121,0.009084329,0.00571206,0.04414374,0.0006847017,0.0002274337,0.03755078,0.0003739803,0.148111],"genre_scores_gemma":[0.9711009,0.007553897,0.00235349,0.0006666494,0.00006762702,0.00005625823,0.005388268,0.00004197848,0.01277098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05511232,"threshold_uncertainty_score":0.3998698,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3049595322","doi":"","title":"The Index of Economic Well-being for Newfoundland and Labrador, 1981-2018","year":2020,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Geography; Index (typography); Consumption (sociology); Socioeconomics; Agricultural economics; Economics; Sociology","authors":[{"name":"Kimberly Wong","is_ca":false},{"name":"Alex Stephens","is_ca":false},{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0835150804549297,"gpt":0.310384251873479,"spread":0.2268691714185493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006269095,0.0004933865,0.0002787221,0.0030762,0.0006044109,0.001170575,0.0005745887,0.000162499,0.003611664],"category_scores_gemma":[0.002081685,0.0001593646,0.0003492534,0.004412467,0.0003228161,0.0007988164,0.001141794,0.000659191,0.001278262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009615195,"about_ca_system_score_gemma":0.005495807,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8715505,"about_ca_topic_score_gemma":0.9141918,"domain_scores_codex":[0.9995477,0.00002376267,0.00004237115,0.00005761829,0.0001590587,0.000169409],"domain_scores_gemma":[0.9978094,0.00009199124,0.0006600952,0.0001039719,0.001000056,0.0003346396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001292149,0.00005339497,0.8641458,0.0001664103,0.0001985994,0.0001048816,0.000653744,0.001609351,0.0002444942,0.0008959782,0.09625828,0.03553992],"study_design_scores_gemma":[0.000001644622,0.000007681603,0.9835681,0.00002067163,0.000009105312,0.00001620729,0.0004072474,0.00009298859,0.00006636704,0.00002032211,0.01578145,0.00000827189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6097152,0.001873788,0.0006755347,0.001450688,0.000140519,0.0001147278,0.3445535,0.0002092256,0.04126683],"genre_scores_gemma":[0.6758962,0.002275775,0.001541086,0.0002017243,0.00007766203,0.000251551,0.2793413,0.00004941774,0.04036518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1284495,"threshold_uncertainty_score":0.2584119,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1605823590","doi":"","title":"A Detailed Analysis of Nova Soctia;s Productivty Performance, 1997-2010","year":2012,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Nova scotia; Productivity; Nova (rocket); Investment (military); Economics; Capital investment; Demographic economics; Agricultural economics; Geography; Business; Engineering; Political science; Economic growth; Finance","authors":[{"name":"Andrew Sharpe","is_ca":false},{"name":"Ricardo de Avillez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1354341093690457,"gpt":0.4271549694360997,"spread":0.291720860067054,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006072486,0.0003759864,0.0002669005,0.00363239,0.0008333292,0.001673672,0.0005050474,0.0001690135,0.003602971],"category_scores_gemma":[0.002145167,0.0002061705,0.0003245695,0.005765451,0.0004304001,0.0002881533,0.0006622911,0.000283512,0.001183956],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01466465,"about_ca_system_score_gemma":0.01186923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9224048,"about_ca_topic_score_gemma":0.9569854,"domain_scores_codex":[0.9990502,0.00003913941,0.00006059533,0.00009966177,0.0004380808,0.0003123152],"domain_scores_gemma":[0.9967234,0.000178131,0.0005771306,0.0001096819,0.001943799,0.0004679627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003122369,0.00005696564,0.9331551,0.0002533631,0.0001415183,0.0004062473,0.001837742,0.003093937,0.002511917,0.001598025,0.01412469,0.04250835],"study_design_scores_gemma":[0.000002849276,0.00002757273,0.9908077,0.00001780798,0.000006240068,0.00003622521,0.0004319962,0.0002749087,0.0002887301,0.00001335728,0.008085663,0.000007000138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9193344,0.0007505874,0.0002043265,0.0003054398,0.00002247385,0.00006132022,0.04776445,0.00007581141,0.03148124],"genre_scores_gemma":[0.9316686,0.0008530383,0.0004383373,0.00004859712,0.0000148502,0.00003590326,0.02893553,0.00003226922,0.03797289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9853354,"threshold_uncertainty_score":0.1561043,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1600753627","doi":"","title":"A Review of the Potential Impacts of the Métis Human Resources Development Agreements in Canada","year":2009,"lang":"en","type":"review","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Metis; Revenue; Fiscal year; Government (linguistics); Economics; Investment (military); Fiscal sustainability; Cost–benefit analysis; Public economics; Demographic economics; Debt; Finance; Political science","authors":[{"name":"Andrew N. Sharpe","is_ca":false},{"name":"Jean-François Arsenault","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1100279512667261,"gpt":0.4410975440286797,"spread":0.3310695927619536,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002930441,0.001021556,0.00134369,0.007997832,0.00132328,0.00216549,0.001470869,0.0008586019,0.003820387],"category_scores_gemma":[0.005127649,0.0005657161,0.0007531906,0.01831492,0.0009813509,0.001001747,0.0007245771,0.0009837535,0.0005133481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02749798,"about_ca_system_score_gemma":0.08056223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8130977,"about_ca_topic_score_gemma":0.906481,"domain_scores_codex":[0.9987066,0.0001386617,0.0001292437,0.00008907635,0.0008017675,0.000134678],"domain_scores_gemma":[0.9965185,0.0009022755,0.0003821579,0.00003759743,0.001896178,0.0002632323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009565018,0.00004506528,0.001339188,0.06700855,0.0002492037,0.0002073163,0.0003434641,0.0009316248,0.0002886037,0.004664564,0.06812444,0.8567024],"study_design_scores_gemma":[0.00002608678,0.00006577595,0.01273375,0.0364537,0.0004185997,0.0002843808,0.0003552767,0.0001345341,0.000286082,0.0006728658,0.9485208,0.00004813345],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001371853,0.9978435,0.00001991927,0.0004470757,0.00006437598,0.000009430462,0.00006852696,0.000002717437,0.001407264],"genre_scores_gemma":[0.001272229,0.9982808,0.00006061533,0.00009592079,0.00002122019,0.000005378819,0.00003456143,7.48224e-7,0.0002286247],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1869023,"threshold_uncertainty_score":0.3760059,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121978508","doi":"","title":"Canada 2030: An Agenda for Sustainable Development","year":2015,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Millennium Development Goals; Sustainable development; Poverty; Economic growth; Political science; Corporate governance; International development; Negotiation; Development economics; Environmental planning; Business; Geography; Economics","authors":[{"name":"Shannon Kindornay","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.2078641001360886,"gpt":0.4462212214413705,"spread":0.2383571213052819,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0102766,0.001349318,0.0009966006,0.003896949,0.012763,0.01229042,0.0044416,0.008159694,0.01466331],"category_scores_gemma":[0.01213925,0.000590333,0.001493154,0.005238998,0.004040341,0.004752123,0.007061468,0.008651348,0.003411227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1137945,"about_ca_system_score_gemma":0.6759992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885359,"about_ca_topic_score_gemma":0.9915013,"domain_scores_codex":[0.9868514,0.0009910222,0.0003071973,0.000354403,0.008337811,0.00315815],"domain_scores_gemma":[0.9820795,0.0007130206,0.0003024135,0.0002332172,0.009787162,0.006884664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002175857,0.00004585531,0.0008025803,0.0003649037,0.00002230853,0.0001445151,0.0009020512,0.0005064505,0.0002472471,0.1079231,0.8510015,0.03801766],"study_design_scores_gemma":[0.000008472118,0.00001098322,0.001843157,0.0003426821,0.0000163506,0.0000295623,0.001648273,0.0002909304,0.0001393554,0.009759483,0.9858719,0.00003888753],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004933244,0.03695094,0.00537393,0.6592484,0.01176584,0.0006314227,0.01453358,0.0009820231,0.2655807],"genre_scores_gemma":[0.1151913,0.09641165,0.09322698,0.3293505,0.002948257,0.001617849,0.02325305,0.001038787,0.3369616],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1137945,"threshold_uncertainty_score":0.8256404,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3004375104","doi":"","title":"A Prosperity Index for British Columbia: Technical Background","year":2019,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Prosperity; Index (typography); Standard of living; Geography; Economic growth; Development economics; Political science; Economics","authors":[{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1612383860185274,"gpt":0.316558360740243,"spread":0.1553199747217155,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00184354,0.0008531579,0.0004860341,0.01348646,0.002426904,0.002633779,0.001490663,0.0003648531,0.01733442],"category_scores_gemma":[0.007408156,0.000569972,0.0004848472,0.02236467,0.0004390941,0.0008867456,0.001556839,0.001193466,0.007484671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01727535,"about_ca_system_score_gemma":0.0333657,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.963176,"about_ca_topic_score_gemma":0.9659114,"domain_scores_codex":[0.9980363,0.0001498964,0.000162618,0.000194232,0.001196472,0.0002605049],"domain_scores_gemma":[0.9886258,0.0004376283,0.0003575866,0.0004101498,0.00957526,0.0005937379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009416423,0.0001231754,0.1112523,0.0008681158,0.00009098352,0.0002946081,0.001069494,0.003497006,0.001181796,0.01068814,0.5919785,0.2788618],"study_design_scores_gemma":[0.00002939408,0.00003300689,0.4205729,0.0004270169,0.00003947605,0.0001861617,0.0009956434,0.00251938,0.001058154,0.001725464,0.5723,0.0001134031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.07291979,0.007484156,0.01804944,0.004183214,0.0005011778,0.00385525,0.6542348,0.002360369,0.2364119],"genre_scores_gemma":[0.1807258,0.01051657,0.07639387,0.0007926458,0.0002560771,0.005085477,0.5105371,0.001113553,0.2145788],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03682399,"threshold_uncertainty_score":0.125342,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123160566","doi":"","title":"A Detailed Analysis of Productivity Trends in the Canadian Forest Products Sector","year":2014,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Productivity; Forest product; Investment (military); Business; Natural resource economics; Multifactor productivity; Product (mathematics); Logging; Human capital; Economics; Agricultural economics; Forest management; Economic growth; Total factor productivity; Forestry; Geography","authors":[{"name":"Ricardo de Avillez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05722011432597924,"gpt":0.3320392608288657,"spread":0.2748191465028865,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006206133,0.0004249227,0.0002642084,0.008377395,0.001549714,0.002084082,0.0006632124,0.0002782712,0.004412276],"category_scores_gemma":[0.00198466,0.0002018723,0.0005584344,0.02086532,0.0002851754,0.0005992619,0.0004530902,0.0004894261,0.0007911511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0335307,"about_ca_system_score_gemma":0.04388927,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942409,"about_ca_topic_score_gemma":0.996372,"domain_scores_codex":[0.9986486,0.00002554182,0.00004582094,0.00009767583,0.0007054317,0.0004769235],"domain_scores_gemma":[0.9963319,0.0001085304,0.0002258771,0.00005160409,0.003013843,0.0002682589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002864196,0.00008212337,0.7212255,0.0006002897,0.0002422515,0.0005263854,0.002896711,0.00714042,0.004379848,0.009849971,0.07224274,0.1805273],"study_design_scores_gemma":[0.000001963566,0.00001643527,0.9577183,0.0000433309,0.00002220369,0.00003865798,0.0009745555,0.001182089,0.0005254248,0.00008487502,0.03936631,0.00002572746],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6937934,0.005288483,0.001288246,0.003186212,0.00006412256,0.0001652509,0.2097203,0.0003436759,0.08615047],"genre_scores_gemma":[0.8764328,0.006319279,0.002083466,0.0002419435,0.00002575307,0.00005081767,0.0802833,0.00006396434,0.03449861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0335307,"threshold_uncertainty_score":0.2432834,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3121228658","doi":"","title":"What Explains the Canada-U.S. Software Investment Intensity Gap?","year":2014,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Investment (military); Productivity; Software; State (computer science); Business; Labour economics; Demographic economics; Economics; Economic growth; Political science; Computer science; Law","authors":[{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1330227641495971,"gpt":0.2979899044785702,"spread":0.1649671403289731,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523389,0.0001860707,0.0003482068,0.003290037,0.002701485,0.003396801,0.0008848571,0.0006771288,0.004947449],"category_scores_gemma":[0.007844792,0.0001732381,0.0003875452,0.008292033,0.001697522,0.001128279,0.001072198,0.001156407,0.0003275955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06007979,"about_ca_system_score_gemma":0.05823382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917741,"about_ca_topic_score_gemma":0.9928876,"domain_scores_codex":[0.997928,0.00008972408,0.00005528563,0.00015209,0.0008144691,0.0009604],"domain_scores_gemma":[0.9939039,0.001138132,0.001065957,0.0001067125,0.002787242,0.0009980141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002524563,0.0001145998,0.5982651,0.0008802828,0.0001314571,0.0009249833,0.01723077,0.002080994,0.0009312557,0.1205247,0.0996206,0.1590428],"study_design_scores_gemma":[0.0000170315,0.00002570037,0.9149364,0.0005374622,0.00005698222,0.0001338064,0.01298412,0.001387657,0.0005504771,0.003137233,0.06617671,0.00005643772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7200558,0.02163251,0.001013245,0.1186121,0.0002429275,0.00006461564,0.009024922,0.0001000753,0.1292539],"genre_scores_gemma":[0.9858534,0.005843983,0.0003630885,0.002295599,0.00004641911,0.00001249879,0.001621847,0.00002396821,0.003939124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06007979,"threshold_uncertainty_score":0.4359115,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3211443375","doi":"","title":"The Productivity Performance of New Brunswick Manufacturing: A Detailed Analysis, 1997-2019","year":2021,"lang":"en","type":"article","venue":"CSLS Research Reports","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Productivity; Perspective (graphical); Manufacturing sector; Manufacturing; Engineering; Operations management; Economics; Industrial organization; Business; Labour economics; Economic growth; Marketing; Computer science","authors":[{"name":"Andrew Sharpe","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04189426063873296,"gpt":0.2977538934757641,"spread":0.2558596328370312,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008506675,0.0005623566,0.0004282356,0.005388796,0.0008205089,0.002111804,0.001073316,0.0003139039,0.002615426],"category_scores_gemma":[0.002113371,0.0003176547,0.0004547724,0.01542439,0.0003859041,0.0007373344,0.0008683016,0.0005772909,0.001249138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03673638,"about_ca_system_score_gemma":0.02190688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.950559,"about_ca_topic_score_gemma":0.9771627,"domain_scores_codex":[0.9988286,0.00004337502,0.0001114699,0.0001057647,0.0005476457,0.0003631594],"domain_scores_gemma":[0.9974942,0.0001554437,0.0004966969,0.00007447012,0.001627181,0.0001520782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002653177,0.00007686046,0.8866063,0.0006423368,0.0002247579,0.001124512,0.002689878,0.009113811,0.00298858,0.001995193,0.0259862,0.06828622],"study_design_scores_gemma":[0.000003702713,0.00001820493,0.9703599,0.00007921024,0.00001881692,0.0000682986,0.001274184,0.0006198101,0.0007560806,0.00004365728,0.02673604,0.00002204631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8033503,0.005871374,0.0009477038,0.00311856,0.0001544426,0.0002232861,0.1490707,0.0001365031,0.03712715],"genre_scores_gemma":[0.8618318,0.007050917,0.001240727,0.0004259122,0.00006714609,0.0001502237,0.08853258,0.00006372268,0.04063692],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04944098,"threshold_uncertainty_score":0.2665423,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}