{"meta":{"query_hash":"e3258040a86f","filters":{"venue":"CSLS Research Reports"},"cohort_total":45,"direct_labels_cover":0,"predictions_cover":45,"exported":45,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e3258040a86f","api":"https://metacan.xera.ac/api/v1/cohort?venue=CSLS+Research+Reports"},"results":[{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy)","score_opus":0.10708090270083999,"score_gpt":0.43895430432204713,"score_spread":0.33187340162120715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490064423","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025666825,0.010098702,0.016871147,0.7453422,0.0016289419,0.001604323,0.004607327,0.0020623337,0.1921182],"genre_scores_gemma":[0.5614209,0.02471829,0.18216494,0.074539036,0.0015969279,0.0014463555,0.008989738,0.0014903314,0.14363346],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.87890786,0.032313112,0.008384669,0.0033917015,0.06304951,0.013953169],"domain_scores_gemma":[0.70031345,0.050132453,0.009797814,0.02335959,0.18724579,0.029150894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.11241426,0.00072153046,0.00080546434,0.012580885,0.018215958,0.033690132,0.0069821533,0.0056806477,0.014411721],"category_scores_gemma":[0.19622374,0.0011170901,0.0009534413,0.020291816,0.008794251,0.011430521,0.008574676,0.0060534035,0.0028164724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000900824,0.00018047418,0.02420236,0.0011242976,0.000046540084,0.00053390005,0.022634342,0.0017426611,0.0010605423,0.06864304,0.46645358,0.41328818],"study_design_scores_gemma":[0.000039421953,0.000056724748,0.030702112,0.0021984759,0.00004686529,0.00017367724,0.020303069,0.0026042606,0.0013444168,0.01061856,0.9316279,0.00028454463],"about_ca_topic_score_codex":0.9755397,"about_ca_topic_score_gemma":0.97982496,"teacher_disagreement_score":0.82577145,"about_ca_system_score_codex":0.17422855,"about_ca_system_score_gemma":0.43370375,"threshold_uncertainty_score":0.95777786},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.1192250162995873,"score_gpt":0.30925553092836133,"score_spread":0.19003051462877402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491470503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4575787,0.033394285,0.0010881658,0.17351554,0.0008228446,0.00011234496,0.010332217,0.00037000809,0.3227859],"genre_scores_gemma":[0.9569541,0.022058012,0.0005822806,0.0018155647,0.0002116652,0.000025066502,0.002066046,0.00009112528,0.016196158],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9944812,0.00018525141,0.00014706365,0.00025287175,0.0032486708,0.0016848997],"domain_scores_gemma":[0.9816638,0.0009666338,0.0011247238,0.0003805677,0.012302796,0.0035614655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003463695,0.0006883771,0.0005546794,0.0059214397,0.0054051746,0.006244365,0.0011698145,0.0009852495,0.0050675925],"category_scores_gemma":[0.011656752,0.00026214533,0.0005905401,0.017019492,0.0026446483,0.0019884517,0.0024122072,0.0025052107,0.00068690034],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052278757,0.00022717727,0.2606381,0.0010079321,0.00019620807,0.0017950432,0.013309222,0.0035152182,0.001362948,0.18034032,0.18220767,0.3548774],"study_design_scores_gemma":[0.000050878643,0.0001186283,0.6174957,0.00057846174,0.00010694957,0.00046376852,0.010328248,0.002171492,0.0013063209,0.0055662366,0.36166957,0.00014373068],"about_ca_topic_score_codex":0.99073726,"about_ca_topic_score_gemma":0.9909101,"teacher_disagreement_score":0.91109896,"about_ca_system_score_codex":0.08890107,"about_ca_system_score_gemma":0.11177907,"threshold_uncertainty_score":0.6450255},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Population; Gross domestic product; Census; Economics; Estimation; Demographic economics; Geography; Economic growth; Demography; Finance; Sociology","score_opus":0.12313765792357399,"score_gpt":0.4694688714358675,"score_spread":0.3463312135122935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497646479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7987096,0.00481387,0.0010482835,0.0012926587,0.000059476584,0.00014719754,0.15170734,0.00029398082,0.041927543],"genre_scores_gemma":[0.9181466,0.006705539,0.0025542076,0.00017002273,0.000024361567,0.00007434001,0.04997106,0.00004600569,0.02230773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996364,0.000013149955,0.000017679697,0.000024942095,0.00020990963,0.000097988464],"domain_scores_gemma":[0.9991872,0.000022561788,0.00009120174,0.00001526253,0.00056337175,0.000120304925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000294965,0.00037129852,0.00020749417,0.00402032,0.0014924777,0.0010661173,0.00069233385,0.00012045571,0.0016619975],"category_scores_gemma":[0.0008915424,0.00015563917,0.00044850926,0.005674999,0.00032032697,0.0002652624,0.00063742424,0.0003802128,0.0003715627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012765793,0.00006199718,0.8386301,0.0005362588,0.00017095426,0.00034233477,0.0050727027,0.0026260037,0.0007750909,0.0025703297,0.058907155,0.090179406],"study_design_scores_gemma":[0.000002979477,0.000008133665,0.97383785,0.000080858335,0.00003179297,0.000057887126,0.00176625,0.00074702903,0.00021464954,0.00005836507,0.023176432,0.000017759983],"about_ca_topic_score_codex":0.9970362,"about_ca_topic_score_gemma":0.99819154,"teacher_disagreement_score":0.024578677,"about_ca_system_score_codex":0.024578677,"about_ca_system_score_gemma":0.029330079,"threshold_uncertainty_score":0.17833161},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05469480380440208,"score_gpt":0.4659951915905264,"score_spread":0.4113003877861243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512616737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39714193,0.04656263,0.004064815,0.16314189,0.0005000158,0.00020744419,0.007299686,0.00010753654,0.38097414],"genre_scores_gemma":[0.94108707,0.02912421,0.0020315258,0.0024425131,0.00013772752,0.00003750353,0.0008973489,0.00002238364,0.024219751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99753845,0.0002274579,0.00004103199,0.00007873647,0.0008978191,0.0012165607],"domain_scores_gemma":[0.9976198,0.000344897,0.00020290122,0.000030911448,0.0011244916,0.000677088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011257194,0.00038126248,0.00048166187,0.0037889585,0.005625475,0.006003297,0.0010742218,0.0011593341,0.004188349],"category_scores_gemma":[0.0032044186,0.00019490809,0.0005551049,0.0057341033,0.0016614215,0.0011893944,0.0013318425,0.0016902029,0.00015896752],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018315038,0.00016382478,0.10312215,0.0008071301,0.00022959568,0.002025801,0.004658127,0.0300246,0.0007519797,0.71862894,0.052721504,0.08668327],"study_design_scores_gemma":[0.00008065702,0.00017666996,0.39092562,0.0031555453,0.0005355473,0.00073748175,0.034332063,0.0508504,0.0013548482,0.07106432,0.4464264,0.00036052804],"about_ca_topic_score_codex":0.99591464,"about_ca_topic_score_gemma":0.9973961,"teacher_disagreement_score":0.8767031,"about_ca_system_score_codex":0.123296894,"about_ca_system_score_gemma":0.15311646,"threshold_uncertainty_score":0.8945858},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.057331728132080935,"score_gpt":0.35660136051524327,"score_spread":0.29926963238316234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1513571298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9355263,0.0016867992,0.0006657713,0.00056739117,0.00013373994,0.00006535274,0.04040076,0.000065872715,0.020888073],"genre_scores_gemma":[0.9488472,0.0019110354,0.000963671,0.000099434896,0.00006317134,0.00008586633,0.044336576,0.000027299468,0.003665872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996352,0.000061277504,0.000049532737,0.000045418088,0.0001258295,0.00008264062],"domain_scores_gemma":[0.9985846,0.00018065757,0.00033612223,0.00007837515,0.00065312476,0.00016698345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011856164,0.00039355515,0.00031212266,0.002792257,0.0003142192,0.0009279528,0.00023832323,0.0002001052,0.001070894],"category_scores_gemma":[0.0028745173,0.000088055116,0.0008286952,0.00496842,0.0003148066,0.0008283309,0.0011089282,0.0005647498,0.00060722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015247459,0.00005595069,0.96384996,0.00011318747,0.00017159276,0.000084108484,0.000551929,0.0013976434,0.00014637996,0.0005353383,0.009039187,0.023902254],"study_design_scores_gemma":[0.0000038619246,0.000048259535,0.99283904,0.000022801169,0.000033403707,0.000032743657,0.0006749089,0.00016915289,0.00015627132,0.00008294972,0.005928848,0.000007790142],"about_ca_topic_score_codex":0.07688285,"about_ca_topic_score_gemma":0.0949847,"teacher_disagreement_score":0.07688285,"about_ca_system_score_codex":0.0011002064,"about_ca_system_score_gemma":0.0009358418,"threshold_uncertainty_score":0.15287066},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Economics; Demographic economics; Work (physics); Development economics; Labour economics; Economic growth","score_opus":0.5677657009010232,"score_gpt":0.6249834597160063,"score_spread":0.057217758814983144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1522074562","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042654883,0.8924198,0.0005049825,0.037802547,0.0006894704,0.000028740524,0.0033900577,0.000039637605,0.022469794],"genre_scores_gemma":[0.40906563,0.5724457,0.0010388882,0.009662097,0.003098928,0.00003867215,0.0033395076,0.0000312469,0.0012792395],"study_design_codex":"observational","study_design_gemma":"systematic_review","domain_scores_codex":[0.991532,0.0018115981,0.0011144015,0.0014582868,0.0029387407,0.0011449516],"domain_scores_gemma":[0.8724859,0.07881565,0.020506183,0.0037731898,0.02030638,0.0041126595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015973588,0.000910073,0.0019707922,0.0072547304,0.0017682525,0.008052879,0.004349426,0.0028767802,0.011961544],"category_scores_gemma":[0.043510564,0.0008241138,0.002274351,0.012568983,0.007554245,0.001819859,0.0025726527,0.0031218375,0.0013865035],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012194245,0.00041902091,0.64878666,0.022879088,0.005929326,0.00041927595,0.0015338693,0.0009478673,0.00031148852,0.015425876,0.023834502,0.27829352],"study_design_scores_gemma":[0.00012330594,0.00036934696,0.87088335,0.034944817,0.0075337533,0.00026985354,0.0034909188,0.0006665341,0.00049589854,0.0066499542,0.07438497,0.00018727717],"about_ca_topic_score_codex":0.5669236,"about_ca_topic_score_gemma":0.4778038,"teacher_disagreement_score":0.5669236,"about_ca_system_score_codex":0.012241379,"about_ca_system_score_gemma":0.025908142,"threshold_uncertainty_score":0.8712537},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.1223251649529691,"score_gpt":0.3143317575826897,"score_spread":0.1920065926297206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537789413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89312625,0.0028453316,0.0001544195,0.0027099256,0.000081618244,0.00004938048,0.061427537,0.000057068282,0.039548416],"genre_scores_gemma":[0.9619492,0.002221617,0.00020646802,0.00023550149,0.000023421619,0.00001818535,0.026263963,0.000016535447,0.00906516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991942,0.000022482624,0.00003433662,0.00007823012,0.00034959445,0.0003211708],"domain_scores_gemma":[0.9975374,0.00006412575,0.00018311088,0.0000284843,0.0018458471,0.0003410632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007184983,0.00031393595,0.00027624323,0.0030824551,0.0023418954,0.0016192248,0.0007266513,0.00035846038,0.004084912],"category_scores_gemma":[0.0023577171,0.00015608368,0.0003998274,0.010766133,0.00036108162,0.0005026847,0.0006876752,0.00045186293,0.0006935552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046072988,0.00011318076,0.86151695,0.00028441212,0.00014526406,0.00017908456,0.0045775063,0.0013311283,0.00040675208,0.0031777676,0.052356172,0.075451076],"study_design_scores_gemma":[0.000004511158,0.000011032323,0.9885621,0.000025968782,0.000012194793,0.000019214107,0.0014312994,0.00022939444,0.00007814778,0.000024131994,0.00959176,0.000010267791],"about_ca_topic_score_codex":0.997033,"about_ca_topic_score_gemma":0.99888116,"teacher_disagreement_score":0.032627754,"about_ca_system_score_codex":0.032627754,"about_ca_system_score_gemma":0.03277051,"threshold_uncertainty_score":0.236732},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Foreign direct investment; Attractiveness; International economics; Business; Human capital; International trade; Economics; Economic growth; Macroeconomics","score_opus":0.1958286559714889,"score_gpt":0.4473476436594634,"score_spread":0.2515189876879745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563462936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7756778,0.0014365333,0.00045810748,0.0039235703,0.000055448505,0.00013121538,0.007875875,0.00009785951,0.21034364],"genre_scores_gemma":[0.9802476,0.0007653682,0.00068184006,0.00024840087,0.000012340865,0.000019559866,0.0025787402,0.000014670299,0.015431498],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965732,0.00014132207,0.00008469234,0.00013000489,0.0021634323,0.00090729183],"domain_scores_gemma":[0.9908998,0.00051225955,0.0006109185,0.00012495303,0.006220197,0.0016318456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014622709,0.0002790345,0.00019871874,0.0026381365,0.0029722222,0.0033995563,0.00063889846,0.0005505644,0.004596529],"category_scores_gemma":[0.006107557,0.00012452708,0.00036850304,0.0042152815,0.0006842962,0.0005842956,0.00090707117,0.0005295075,0.000562965],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020033943,0.0001797356,0.8241117,0.00025311948,0.00016668766,0.00051749195,0.0021904611,0.008019645,0.0017651322,0.022460952,0.045902874,0.09423186],"study_design_scores_gemma":[0.000027514365,0.00012224486,0.9001763,0.000127373,0.000068817906,0.00017125142,0.0054331175,0.004928806,0.0016761814,0.0006431833,0.086537965,0.00008724373],"about_ca_topic_score_codex":0.98940814,"about_ca_topic_score_gemma":0.99459296,"teacher_disagreement_score":0.037191343,"about_ca_system_score_codex":0.037191343,"about_ca_system_score_gemma":0.05561974,"threshold_uncertainty_score":0.26984334},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Labour economics; Recession; Economics; Business; Demographic economics","score_opus":0.04443285337439347,"score_gpt":0.3739037187943877,"score_spread":0.32947086541999426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572461079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91716635,0.0052932333,0.0003163724,0.0040244604,0.00015781666,0.00014748378,0.04533819,0.00012119069,0.027434966],"genre_scores_gemma":[0.9549872,0.004530257,0.0008695289,0.000487163,0.000044312193,0.0000929414,0.02182191,0.000048141366,0.01711853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816704,0.000059012327,0.00007097801,0.00011155912,0.0008385899,0.0007526605],"domain_scores_gemma":[0.9957545,0.000088069144,0.00038007664,0.000063698375,0.0028954898,0.00081810186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011420496,0.0004970893,0.0005994681,0.0034253986,0.005261908,0.0023666497,0.0014708247,0.0004966912,0.0026834463],"category_scores_gemma":[0.0027221683,0.0003044742,0.0005855907,0.00807512,0.0008890387,0.00069024635,0.001619541,0.0011896233,0.00067278644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003044245,0.00015687103,0.84107924,0.00071207975,0.00020270364,0.0005498922,0.021114651,0.0014411635,0.000646356,0.0029630826,0.053394545,0.07743505],"study_design_scores_gemma":[0.0000055180885,0.000029267037,0.9663648,0.00012859433,0.000033230128,0.00006949851,0.009452995,0.00039830225,0.00019144642,0.000053298245,0.02323667,0.000036466303],"about_ca_topic_score_codex":0.99855655,"about_ca_topic_score_gemma":0.999343,"teacher_disagreement_score":0.079457015,"about_ca_system_score_codex":0.079457015,"about_ca_system_score_gemma":0.1036832,"threshold_uncertainty_score":0.5765037},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0395984247930094,"score_gpt":0.37633310846402224,"score_spread":0.33673468367101284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585308259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8815097,0.003886896,0.0003387073,0.02152382,0.00016539641,0.00003429328,0.008582459,0.00006436598,0.083894365],"genre_scores_gemma":[0.98960215,0.0017873679,0.00014564181,0.00039459395,0.000029404537,0.0000056085887,0.001338671,0.000010107338,0.006686557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740463,0.00011583629,0.000051976967,0.00010063091,0.0009071105,0.0014198191],"domain_scores_gemma":[0.99596655,0.00025488035,0.00041356447,0.00005529,0.0022125063,0.0010971978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089356996,0.0003221704,0.00033214863,0.0019517425,0.0035798824,0.0038817618,0.0006788264,0.00058679,0.0034366355],"category_scores_gemma":[0.004575271,0.00013695694,0.00033869082,0.005385827,0.0013961849,0.00072178734,0.0014586104,0.0011335404,0.0003489742],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006096931,0.00013180169,0.7861396,0.0003583302,0.000260064,0.00083670864,0.005879992,0.012848854,0.0013434634,0.04499954,0.04384526,0.102746755],"study_design_scores_gemma":[0.000016847414,0.000056662117,0.94726473,0.000158666,0.00004785118,0.000051729836,0.006516709,0.002250997,0.00051165925,0.001157907,0.04192049,0.000045711193],"about_ca_topic_score_codex":0.996488,"about_ca_topic_score_gemma":0.99796814,"teacher_disagreement_score":0.08556064,"about_ca_system_score_codex":0.08556064,"about_ca_system_score_gemma":0.11119764,"threshold_uncertainty_score":0.6207888},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.11002795126672614,"score_gpt":0.44109754402867973,"score_spread":0.3310695927619536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600753627","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013718527,0.9978435,0.000019919273,0.0004470757,0.000064375985,0.000009430462,0.00006852696,0.000002717437,0.0014072644],"genre_scores_gemma":[0.0012722294,0.99828076,0.000060615333,0.00009592079,0.000021220189,0.000005378819,0.00003456143,7.4822395e-7,0.00022862467],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987066,0.00013866166,0.00012924368,0.000089076355,0.00080176746,0.00013467803],"domain_scores_gemma":[0.9965185,0.0009022755,0.0003821579,0.00003759743,0.0018961783,0.00026323227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029304412,0.0010215562,0.0013436895,0.007997832,0.0013232802,0.00216549,0.0014708694,0.00085860194,0.0038203872],"category_scores_gemma":[0.005127649,0.00056571607,0.0007531906,0.018314924,0.0009813509,0.0010017472,0.0007245771,0.0009837535,0.00051334815],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095650175,0.00004506528,0.0013391878,0.067008555,0.00024920367,0.00020731632,0.00034346414,0.00093162485,0.00028860365,0.0046645636,0.068124436,0.8567024],"study_design_scores_gemma":[0.00002608678,0.00006577595,0.012733752,0.0364537,0.0004185997,0.00028438077,0.00035527672,0.00013453414,0.00028608198,0.00067286583,0.9485208,0.000048133454],"about_ca_topic_score_codex":0.8130977,"about_ca_topic_score_gemma":0.906481,"teacher_disagreement_score":0.18690228,"about_ca_system_score_codex":0.027497979,"about_ca_system_score_gemma":0.080562234,"threshold_uncertainty_score":0.37600595},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.13543410936904565,"score_gpt":0.42715496943609965,"score_spread":0.291720860067054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1605823590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91933435,0.0007505874,0.0002043265,0.00030543984,0.000022473845,0.00006132022,0.04776445,0.00007581141,0.031481236],"genre_scores_gemma":[0.9316686,0.00085303833,0.0004383373,0.000048597125,0.000014850205,0.00003590326,0.028935535,0.00003226922,0.037972894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990502,0.00003913941,0.00006059533,0.00009966177,0.00043808084,0.00031231524],"domain_scores_gemma":[0.99672335,0.000178131,0.00057713065,0.0001096819,0.0019437986,0.0004679627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060724857,0.00037598645,0.00026690046,0.0036323904,0.00083332916,0.0016736718,0.00050504744,0.00016901351,0.0036029713],"category_scores_gemma":[0.0021451674,0.00020617052,0.0003245695,0.005765451,0.0004304001,0.00028815333,0.00066229113,0.000283512,0.0011839557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031223692,0.000056965637,0.9331551,0.0002533631,0.00014151829,0.00040624727,0.0018377417,0.003093937,0.0025119167,0.0015980249,0.014124689,0.042508345],"study_design_scores_gemma":[0.0000028492761,0.000027572727,0.9908077,0.000017807979,0.000006240068,0.00003622521,0.00043199622,0.00027490873,0.0002887301,0.000013357278,0.008085663,0.000007000138],"about_ca_topic_score_codex":0.9224048,"about_ca_topic_score_gemma":0.95698535,"teacher_disagreement_score":0.98533535,"about_ca_system_score_codex":0.014664647,"about_ca_system_score_gemma":0.0118692275,"threshold_uncertainty_score":0.15610427},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.052759809076893774,"score_gpt":0.3068779243114005,"score_spread":0.2541181152345067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111890146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77139896,0.014780928,0.0017601382,0.05710695,0.0003598326,0.000110102046,0.02691657,0.0002711767,0.12729529],"genre_scores_gemma":[0.96653503,0.0105039505,0.0008693485,0.0007457646,0.00002923888,0.00001626408,0.0029752397,0.000045082543,0.018280119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829966,0.000062254665,0.000034743018,0.00010672362,0.00067743956,0.0008192306],"domain_scores_gemma":[0.9956352,0.00025042964,0.00027993665,0.000046628884,0.0027986164,0.0009891257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007032134,0.00043461745,0.00043973938,0.002977049,0.0037000915,0.004887634,0.0012784634,0.0008906221,0.0068704155],"category_scores_gemma":[0.0046836357,0.00027499397,0.00080168777,0.008774433,0.0014415819,0.0013785069,0.0016940468,0.0014951335,0.00062357815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061144674,0.00021917817,0.6125219,0.0008096526,0.00031404867,0.0026188202,0.0049260645,0.034568965,0.002068122,0.08129956,0.09693185,0.16311046],"study_design_scores_gemma":[0.000054161996,0.00008056256,0.82846725,0.0007432492,0.000120935496,0.00037735424,0.017397745,0.018335978,0.0011791326,0.011103536,0.12197954,0.00016056286],"about_ca_topic_score_codex":0.9978206,"about_ca_topic_score_gemma":0.9979949,"teacher_disagreement_score":0.12490432,"about_ca_system_score_codex":0.12490432,"about_ca_system_score_gemma":0.118306816,"threshold_uncertainty_score":0.9062485},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.08655787436710399,"score_gpt":0.43369890856340676,"score_spread":0.34714103419630277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129052480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7397514,0.067796424,0.04350949,0.0585715,0.0026614163,0.00016449424,0.0032942926,0.00007645178,0.08417446],"genre_scores_gemma":[0.95261073,0.027248876,0.014830061,0.00095394376,0.0014216669,0.00016510917,0.0009958042,0.000026305794,0.0017475814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982716,0.00080197566,0.00021841921,0.00011846516,0.00044541925,0.00014415785],"domain_scores_gemma":[0.99530596,0.001989807,0.0012737252,0.00028037405,0.0006588097,0.0004913281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053559877,0.0005368548,0.00062943756,0.005720914,0.0010177821,0.0043608164,0.0006407544,0.0005989604,0.0015640835],"category_scores_gemma":[0.008110242,0.00017586358,0.00043365074,0.005995,0.00399489,0.00885304,0.0037238027,0.0025257824,0.00015867525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021954536,0.00015532786,0.38011992,0.0008706919,0.0001651222,0.00041657977,0.03267968,0.0029156588,0.0006805691,0.21001089,0.012567294,0.3591987],"study_design_scores_gemma":[0.000009883906,0.0003131906,0.6587341,0.0018473744,0.00007000934,0.0008319506,0.07964634,0.0044373637,0.0008108669,0.12800394,0.12506907,0.00022595585],"about_ca_topic_score_codex":0.0050053634,"about_ca_topic_score_gemma":0.010172408,"teacher_disagreement_score":0.005720914,"about_ca_system_score_codex":0.0019181544,"about_ca_system_score_gemma":0.0013361152,"threshold_uncertainty_score":0.028325498},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Unemployment; Economics; Seasonal adjustment; Demographic economics; Labour economics; Economic growth; Variable (mathematics); Ecology","score_opus":0.1410138389243997,"score_gpt":0.51678937735802,"score_spread":0.3757755384336203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135094284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78255606,0.05228012,0.0006128926,0.08930245,0.0006343196,0.00013076644,0.035152793,0.0001862526,0.039144352],"genre_scores_gemma":[0.9630474,0.022508867,0.0005712228,0.0026759848,0.00014280733,0.000025835858,0.0050570676,0.000026326286,0.005944458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988569,0.000038777092,0.000049500824,0.00008686183,0.00031446086,0.000653419],"domain_scores_gemma":[0.9956162,0.00019126869,0.00063968415,0.0000492455,0.0023049943,0.0011985286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096141343,0.0003153855,0.00043560524,0.0035604276,0.0030998723,0.0030301749,0.0012612471,0.0007676577,0.004567412],"category_scores_gemma":[0.003077047,0.0002078938,0.00066155684,0.011662027,0.0009210646,0.0010291968,0.0010404974,0.0014109354,0.0003012958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004010487,0.0001471313,0.82003534,0.0011403953,0.00019707186,0.00058936264,0.0053917696,0.002653641,0.0008076008,0.010412477,0.05052736,0.10769691],"study_design_scores_gemma":[0.000011935807,0.000034488494,0.94697464,0.00055921526,0.000044342,0.000101958154,0.00866391,0.0014379756,0.0001493191,0.0005369515,0.041443553,0.00004172304],"about_ca_topic_score_codex":0.99641633,"about_ca_topic_score_gemma":0.9976179,"teacher_disagreement_score":0.068082474,"about_ca_system_score_codex":0.068082474,"about_ca_system_score_gemma":0.10010925,"threshold_uncertainty_score":0.49397522},"labels":[],"label_agreement":null},{"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Incentive; Business; Quality (philosophy); Labour economics; Economics; Market economy","score_opus":0.13102435027641302,"score_gpt":0.47539477384571827,"score_spread":0.34437042356930525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141162030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6270189,0.10138652,0.0019035311,0.10198471,0.00082987716,0.0002016462,0.010823045,0.00048219264,0.15536956],"genre_scores_gemma":[0.91892266,0.051201057,0.0015659472,0.004073758,0.0002592762,0.000049254817,0.0033033194,0.00007750969,0.020547144],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99458694,0.00022139393,0.00018017196,0.00036999874,0.002362282,0.0022791245],"domain_scores_gemma":[0.98231226,0.0010591391,0.0013536173,0.00020404159,0.009276785,0.005794172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020261642,0.00036557834,0.00048165477,0.007855949,0.0066104126,0.0069673974,0.0027543905,0.0011818638,0.0070266984],"category_scores_gemma":[0.0058078934,0.00036196428,0.00043649456,0.019356731,0.0032917247,0.0019239574,0.0020591014,0.002372016,0.00050914026],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028035886,0.00026462227,0.29830673,0.0015500223,0.00008107668,0.0010466223,0.01228294,0.001926811,0.0012360454,0.07266662,0.08286957,0.5274886],"study_design_scores_gemma":[0.000016616985,0.000074623305,0.7105236,0.00077605475,0.000035461977,0.00036377046,0.015540324,0.0012648669,0.0005948791,0.0020254515,0.26869106,0.00009322346],"about_ca_topic_score_codex":0.9943699,"about_ca_topic_score_gemma":0.99479127,"teacher_disagreement_score":0.119634904,"about_ca_system_score_codex":0.119634904,"about_ca_system_score_gemma":0.18211181,"threshold_uncertainty_score":0.86801606},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; Population; Geography; Socioeconomics; Economic growth; Political science; Demography; Sociology; Economics","score_opus":0.3458124094873427,"score_gpt":0.5311982265999455,"score_spread":0.18538581711260282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2177574360","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1436508,0.008548339,0.007818037,0.013916042,0.0011575823,0.0021210576,0.18496552,0.0020283444,0.6357942],"genre_scores_gemma":[0.72332203,0.009458517,0.025097411,0.0010443592,0.00016395928,0.0013490493,0.11804473,0.0005156633,0.12100437],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.987938,0.0010148371,0.00049082015,0.00040946892,0.007552457,0.0025944298],"domain_scores_gemma":[0.9821899,0.00044708556,0.0005989602,0.00035849723,0.01445577,0.0019496595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005213491,0.0008946694,0.00060554995,0.013929999,0.0035025314,0.0047956174,0.0017369955,0.00042394112,0.009016278],"category_scores_gemma":[0.013082145,0.000244811,0.0007131739,0.019777503,0.00078749633,0.0012295949,0.0037502134,0.0009558467,0.0014800294],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030128437,0.00026424523,0.21394603,0.001557336,0.00023712355,0.00026810006,0.0042962353,0.008301491,0.0007015016,0.057166427,0.3102042,0.40275598],"study_design_scores_gemma":[0.000023578517,0.00008769752,0.47522795,0.00069603574,0.00005112527,0.00008001599,0.005351887,0.005274243,0.0007815329,0.0019837765,0.51033944,0.00010264266],"about_ca_topic_score_codex":0.979556,"about_ca_topic_score_gemma":0.97759295,"teacher_disagreement_score":0.08301628,"about_ca_system_score_codex":0.08301628,"about_ca_system_score_gemma":0.17000616,"threshold_uncertainty_score":0.60232806},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.06358528106122904,"score_gpt":0.37777636737002274,"score_spread":0.31419108630879367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257181635","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21159342,0.012268194,0.006684236,0.032683365,0.000965,0.00024449485,0.6360558,0.0013971983,0.098108225],"genre_scores_gemma":[0.69422954,0.020471344,0.0133768255,0.0020853514,0.00014884067,0.00028390044,0.2211661,0.00019267917,0.048045453],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984421,0.00009208444,0.00006318528,0.00006636244,0.0007749367,0.00056130585],"domain_scores_gemma":[0.99646986,0.00007064694,0.00018708143,0.000029652429,0.0028739437,0.00036877766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013396587,0.0009313462,0.00053040235,0.0040170145,0.0027575765,0.0028657562,0.001166967,0.0007488489,0.0054449635],"category_scores_gemma":[0.0031413855,0.000342756,0.0013554855,0.006507968,0.0005926594,0.001317146,0.0013224889,0.001485769,0.0012720264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075151346,0.00013278968,0.13631248,0.001415814,0.00070697226,0.0010623736,0.0014259594,0.09002322,0.0012385802,0.061045036,0.61243814,0.093447134],"study_design_scores_gemma":[0.00015434486,0.0001514654,0.36289266,0.001348478,0.00043005313,0.0005430507,0.008877339,0.050168645,0.0016979757,0.0134120425,0.5598746,0.00044941533],"about_ca_topic_score_codex":0.99535686,"about_ca_topic_score_gemma":0.9962674,"teacher_disagreement_score":0.07380472,"about_ca_system_score_codex":0.07380472,"about_ca_system_score_gemma":0.1233333,"threshold_uncertainty_score":0.53549325},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.028778661257511745,"score_gpt":0.3392445606672654,"score_spread":0.31046589940975367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257787915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906599,0.00040927995,0.00004177212,0.0013580103,0.000020268952,0.000073483076,0.0006851793,0.0000031807551,0.0067488737],"genre_scores_gemma":[0.99201196,0.0010737682,0.000117745,0.0007739006,0.000011842604,0.000052018782,0.00055448775,0.0000070926144,0.005397138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972343,0.00024325393,0.000096895106,0.00016561164,0.00065938645,0.0016005582],"domain_scores_gemma":[0.99449325,0.00072352117,0.00088101573,0.00014981923,0.0018013638,0.0019511082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021352496,0.00033018203,0.0006059013,0.0029384033,0.015117425,0.005151215,0.0013886702,0.0009796554,0.0044215485],"category_scores_gemma":[0.005477937,0.0004739268,0.0005349276,0.0071142744,0.001970725,0.0014464732,0.0030353796,0.002348594,0.00042564876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009363352,0.00040354958,0.84341466,0.00012554333,0.000030771585,0.0013281122,0.12679404,0.000076675286,0.0002291257,0.0019188721,0.0052010966,0.020384012],"study_design_scores_gemma":[0.000011977597,0.00006007361,0.6859066,0.00020686997,0.000024820241,0.00019885159,0.29888776,0.00017658282,0.000085372456,0.00009485616,0.014302108,0.000044247117],"about_ca_topic_score_codex":0.99478984,"about_ca_topic_score_gemma":0.99751925,"teacher_disagreement_score":0.050985646,"about_ca_system_score_codex":0.050985646,"about_ca_system_score_gemma":0.10340347,"threshold_uncertainty_score":0.36992848},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Manufacturing; Business; Labour economics; Wage share; Industrial organization; Economics; Wage; Marketing; Efficiency wage","score_opus":0.08149547392637321,"score_gpt":0.2807292056876826,"score_spread":0.1992337317613094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263787506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657052,0.0029044282,0.0002977425,0.004676135,0.000035571462,0.000029889397,0.0067013595,0.000040412204,0.019609276],"genre_scores_gemma":[0.991302,0.0013639405,0.00023383011,0.00013359833,0.0000128526135,0.000005104271,0.0016000891,0.000010545647,0.005337961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998869,0.000041315678,0.000029526505,0.0000751937,0.00048594584,0.00049897045],"domain_scores_gemma":[0.99711525,0.00016615137,0.00044347616,0.00004804236,0.0016805262,0.0005465064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005731652,0.00027125573,0.00036139364,0.002528474,0.0029218616,0.0024477583,0.00095473626,0.00045846426,0.002942007],"category_scores_gemma":[0.0027258717,0.00018759197,0.00044408222,0.007054647,0.0008028376,0.0005949595,0.0010414247,0.0008339937,0.0002557854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023105882,0.00007826291,0.9111175,0.00014363498,0.00009369658,0.00067811686,0.0030462618,0.0054889326,0.0008832583,0.008740385,0.010529643,0.058969244],"study_design_scores_gemma":[0.0000062796803,0.000018028179,0.98297095,0.00005735542,0.000020664835,0.000068829664,0.0031713352,0.00241962,0.00035305996,0.00021248232,0.010681649,0.000019788038],"about_ca_topic_score_codex":0.9977214,"about_ca_topic_score_gemma":0.99843365,"teacher_disagreement_score":0.06360808,"about_ca_system_score_codex":0.06360808,"about_ca_system_score_gemma":0.062276334,"threshold_uncertainty_score":0.46151108},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.0635084442211657,"score_gpt":0.32777945334860487,"score_spread":0.26427100912743917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266372770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85612166,0.0028212687,0.00081856,0.003380701,0.000045896257,0.00010072426,0.1034855,0.00016609079,0.033059496],"genre_scores_gemma":[0.95178354,0.0017259958,0.0005895715,0.00021225546,0.000017306833,0.000029325083,0.027448997,0.00002510198,0.018167807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941516,0.000022410139,0.000023215816,0.000060234535,0.00022880895,0.00025009274],"domain_scores_gemma":[0.9976599,0.00011774535,0.00025935035,0.00004647724,0.0016062104,0.00031032806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005061238,0.00031134338,0.0002454158,0.0027440314,0.0011656138,0.0020745618,0.0006982004,0.0003177468,0.0046195947],"category_scores_gemma":[0.0015862784,0.00014596553,0.0004627308,0.008041118,0.0003964637,0.00055402634,0.00046480994,0.0005349903,0.00058776676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015608808,0.000068647874,0.9021057,0.00018389476,0.00016473912,0.00032207355,0.0009865041,0.0047185365,0.0015731184,0.0027404607,0.031827178,0.05515306],"study_design_scores_gemma":[0.000001897091,0.00001061571,0.98695487,0.000028147151,0.000014092022,0.000021169848,0.0007333383,0.0012224023,0.00019574624,0.000036911715,0.010768903,0.000011936488],"about_ca_topic_score_codex":0.9953642,"about_ca_topic_score_gemma":0.99725384,"teacher_disagreement_score":0.035486247,"about_ca_system_score_codex":0.035486247,"about_ca_system_score_gemma":0.032885324,"threshold_uncertainty_score":0.25747198},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.20201739534156118,"score_gpt":0.3253927341488876,"score_spread":0.1233753388073264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281778058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7423104,0.008925125,0.001024843,0.085378796,0.00042730046,0.00008251444,0.0105980905,0.00027286893,0.15098],"genre_scores_gemma":[0.9784878,0.002244353,0.00027862185,0.001917057,0.000057887064,0.000011266055,0.0017488609,0.000037145113,0.015216989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985361,0.000030530748,0.00003277852,0.00011012361,0.00043470372,0.00085575343],"domain_scores_gemma":[0.9975406,0.00013829587,0.00026425775,0.000060967024,0.0014406459,0.00055524317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008973817,0.0002444229,0.00038691875,0.0027964716,0.006207993,0.0026269185,0.0015865958,0.0007629305,0.008396692],"category_scores_gemma":[0.0030885625,0.00024305296,0.00047974882,0.005433742,0.0014545816,0.00063281803,0.001333918,0.002019898,0.0005624946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050901604,0.00011821446,0.57505167,0.00045434677,0.000110951114,0.00417686,0.013308201,0.0064826175,0.0037903795,0.1316878,0.13895959,0.12535045],"study_design_scores_gemma":[0.000026185144,0.000028194792,0.8454774,0.00025752335,0.000027638753,0.00034369325,0.013151947,0.0037447568,0.001313691,0.005096226,0.13045487,0.000077905956],"about_ca_topic_score_codex":0.994337,"about_ca_topic_score_gemma":0.99544626,"teacher_disagreement_score":0.07200573,"about_ca_system_score_codex":0.07200573,"about_ca_system_score_gemma":0.055940792,"threshold_uncertainty_score":0.52244055},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.33172049613666515,"score_gpt":0.5185316314464743,"score_spread":0.18681113530980914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622682098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9027277,0.005942482,0.0007527046,0.005987927,0.00007899166,0.00006413432,0.025653072,0.00014411465,0.058648877],"genre_scores_gemma":[0.9876807,0.003223145,0.0006537237,0.0001928348,0.000020422254,0.000011646341,0.00357793,0.000016865535,0.0046228305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983165,0.00004986574,0.000088652814,0.00020232696,0.00080065377,0.00054193963],"domain_scores_gemma":[0.98917633,0.00087692955,0.0018295693,0.0002466429,0.0068538166,0.0010167784],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0013716376,0.00017138514,0.0003334933,0.008797776,0.0019653814,0.0024657007,0.0010134054,0.0003763929,0.0031958488],"category_scores_gemma":[0.0072509605,0.00017467453,0.00051440665,0.016917061,0.00085545797,0.0009439025,0.0006401068,0.00055835774,0.00025163888],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020163303,0.000046828423,0.86360145,0.00042621972,0.00015326797,0.00022269075,0.0036897396,0.0018748106,0.002533856,0.010803451,0.013578175,0.10286789],"study_design_scores_gemma":[0.0000040932655,0.000022009703,0.9815439,0.00005879736,0.000038450602,0.000041604242,0.0015064101,0.0008129569,0.0006484287,0.00024038684,0.015057867,0.000025065825],"about_ca_topic_score_codex":0.9953342,"about_ca_topic_score_gemma":0.99621034,"teacher_disagreement_score":0.99120224,"about_ca_system_score_codex":0.055581804,"about_ca_system_score_gemma":0.068725735,"threshold_uncertainty_score":0.40327615},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.2963655962905089,"score_gpt":0.5117857433445939,"score_spread":0.21542014705408502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2649084691","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006798552,0.8237236,0.0012634016,0.12507007,0.0078272605,0.00008132809,0.00041487117,0.000082231774,0.034738578],"genre_scores_gemma":[0.054525062,0.915442,0.0019164418,0.013472489,0.0044754124,0.00009005928,0.0003773136,0.000056409488,0.009644855],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973143,0.0005427163,0.00021642513,0.00017421406,0.0010599544,0.0006924541],"domain_scores_gemma":[0.99119776,0.0029681046,0.0007191265,0.0001459983,0.0026614878,0.0023075053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052958853,0.0006089148,0.0005665224,0.0058519715,0.0070775817,0.007856762,0.002180244,0.0033041101,0.0063607763],"category_scores_gemma":[0.0073699933,0.00036143788,0.0006481752,0.008620311,0.0051408033,0.006435379,0.0039617186,0.004691585,0.0010006689],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007321048,0.0001406677,0.011145688,0.0062257224,0.000025394973,0.0013162093,0.009934767,0.0003542095,0.00027074284,0.055893652,0.2024401,0.7121797],"study_design_scores_gemma":[0.000002678505,0.000036975307,0.01431318,0.010008072,0.00003065071,0.0014766776,0.031359583,0.000091930255,0.00010997922,0.0060887085,0.93642026,0.00006129116],"about_ca_topic_score_codex":0.34522945,"about_ca_topic_score_gemma":0.46567252,"teacher_disagreement_score":0.34522945,"about_ca_system_score_codex":0.015236683,"about_ca_system_score_gemma":0.04229312,"threshold_uncertainty_score":0.68644},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Superpower; China; Shock (circulatory); Competition (biology); Economics; Business; Development economics; International trade; Demographic economics; Political science; Medicine","score_opus":0.14844903726491004,"score_gpt":0.3223201507681519,"score_spread":0.17387111350324186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786170076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974019,0.001473049,0.00011784494,0.004756347,0.000041368763,0.000024678282,0.00498777,0.000025874186,0.014554239],"genre_scores_gemma":[0.98999304,0.0016033059,0.00008369204,0.00066603365,0.000028163608,0.000008609737,0.0021132005,0.000008190013,0.005495834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992204,0.000035490542,0.00002019777,0.00005302336,0.00028958733,0.00038128445],"domain_scores_gemma":[0.99709857,0.0002669239,0.0006000681,0.000058564427,0.0012272235,0.00074872794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005226237,0.000371381,0.00044363207,0.0017132749,0.0038236827,0.0022271548,0.0008388019,0.00091385155,0.005273209],"category_scores_gemma":[0.0024677657,0.00018101791,0.00043568146,0.005723307,0.0012789255,0.00062746636,0.0013802154,0.001279154,0.0003276224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056098425,0.00025203323,0.92581624,0.00026287412,0.00023316848,0.0010814253,0.00403937,0.00473535,0.0013397345,0.008108685,0.023673749,0.029896414],"study_design_scores_gemma":[0.000026439095,0.00005318637,0.9800214,0.000054418575,0.00005476918,0.00004930244,0.006249435,0.0009493525,0.00050199986,0.00026862044,0.011730348,0.000040679424],"about_ca_topic_score_codex":0.9959164,"about_ca_topic_score_gemma":0.9982487,"teacher_disagreement_score":0.031844903,"about_ca_system_score_codex":0.031844903,"about_ca_system_score_gemma":0.040358968,"threshold_uncertainty_score":0.23105198},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Geography; Political science; Economic growth; Sociology; Development economics; Economics","score_opus":0.020724003005449854,"score_gpt":0.38655543143987653,"score_spread":0.3658314284344267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797013203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81256723,0.014939931,0.0013237434,0.06388409,0.000519385,0.00017187728,0.021316111,0.00013287159,0.085144654],"genre_scores_gemma":[0.97247905,0.01160095,0.0009467945,0.0016178052,0.00006963706,0.00005321548,0.0026045442,0.000023183915,0.010604839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968786,0.00023634724,0.000067523804,0.00011216032,0.0010036239,0.001701761],"domain_scores_gemma":[0.997661,0.0001554476,0.00021449785,0.00003527547,0.0011888867,0.0007449533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015408216,0.00046520113,0.0003818355,0.0021005685,0.006014555,0.0037895057,0.0011573501,0.00089560455,0.003769233],"category_scores_gemma":[0.0039157053,0.00021536175,0.0009345617,0.0037888235,0.0013170462,0.0010810035,0.0028182636,0.002006516,0.00036952482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003772811,0.00011625294,0.7307766,0.001131642,0.0004004976,0.0016030892,0.025321534,0.011262953,0.00081311684,0.051463436,0.059542935,0.11719065],"study_design_scores_gemma":[0.000025899946,0.00007169156,0.8665272,0.0010469176,0.00018094246,0.00036047012,0.03907975,0.006528678,0.00041099705,0.0053035147,0.08034017,0.00012373165],"about_ca_topic_score_codex":0.99818027,"about_ca_topic_score_gemma":0.9989906,"teacher_disagreement_score":0.09091042,"about_ca_system_score_codex":0.09091042,"about_ca_system_score_gemma":0.17460924,"threshold_uncertainty_score":0.6596043},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; Ethnic group; Population; Geography; Demography; Demographic economics; Political science; Sociology; Economics; Law","score_opus":0.05992774086469145,"score_gpt":0.4545841101348188,"score_spread":0.39465636927012737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898730963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7541121,0.009084329,0.00571206,0.044143736,0.00068470166,0.00022743366,0.037550777,0.00037398026,0.14811096],"genre_scores_gemma":[0.97110087,0.0075538973,0.0023534899,0.0006666494,0.00006762702,0.000056258228,0.005388268,0.00004197848,0.012770979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981306,0.00011084137,0.00003858793,0.00008162188,0.0007587429,0.00087958074],"domain_scores_gemma":[0.99831283,0.00006845851,0.000113756956,0.00003184779,0.0010919762,0.0003811353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010487485,0.00050924096,0.00036498078,0.0020290937,0.003986541,0.002831532,0.0011638203,0.0005186996,0.004500093],"category_scores_gemma":[0.0030331525,0.00020793008,0.0010460997,0.0030757426,0.000787562,0.0010199905,0.0023282066,0.0015075929,0.00047531122],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004121382,0.00008629248,0.6449476,0.0006909573,0.0004495022,0.0013110185,0.010357388,0.030348971,0.001589912,0.06414586,0.06904262,0.17661782],"study_design_scores_gemma":[0.000034915538,0.00009652815,0.7192793,0.0011388576,0.00024972993,0.0005282136,0.022956641,0.037811846,0.0013580262,0.011225824,0.2051247,0.00019539153],"about_ca_topic_score_codex":0.99368507,"about_ca_topic_score_gemma":0.9959495,"teacher_disagreement_score":0.055112325,"about_ca_system_score_codex":0.055112325,"about_ca_system_score_gemma":0.09927872,"threshold_uncertainty_score":0.3998698},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.04901910253803217,"score_gpt":0.3382835468604085,"score_spread":0.28926444432237636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965578205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69288325,0.020444231,0.00034370323,0.09108976,0.0006107501,0.00005107699,0.00984777,0.000042217296,0.18468726],"genre_scores_gemma":[0.98182076,0.008098244,0.00021180684,0.0031922795,0.00010224479,0.000016848307,0.0015162393,0.000018393053,0.0050230725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981134,0.00015102194,0.00004347445,0.00009099076,0.000556386,0.0010448317],"domain_scores_gemma":[0.9973212,0.00015092596,0.0002316226,0.000033400593,0.0011570251,0.0011058563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056174,0.00020003444,0.0004344772,0.0030009912,0.007697726,0.003979631,0.0006518603,0.0005542865,0.004445551],"category_scores_gemma":[0.0034994471,0.00013857441,0.00030288214,0.008471154,0.0025547943,0.0016038966,0.0020404381,0.001533463,0.0002214525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002602618,0.00012473833,0.55909693,0.00037162044,0.00015583997,0.0008702963,0.039950185,0.00088830094,0.00019563851,0.10269392,0.14401294,0.15137929],"study_design_scores_gemma":[0.000012377989,0.00002069563,0.8167543,0.0006955372,0.000046449273,0.00011944672,0.078339376,0.00033239662,0.00011572603,0.0042748516,0.09921768,0.0000712565],"about_ca_topic_score_codex":0.99638736,"about_ca_topic_score_gemma":0.9978345,"teacher_disagreement_score":0.059803873,"about_ca_system_score_codex":0.059803873,"about_ca_system_score_gemma":0.06496147,"threshold_uncertainty_score":0.43390948},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.14635158107886947,"score_gpt":0.34320006817729437,"score_spread":0.1968484870984249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996816157","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3572888,0.0030774176,0.0005937902,0.00079487014,0.0000353956,0.00029283526,0.6258158,0.0002448084,0.011856191],"genre_scores_gemma":[0.5167545,0.004517665,0.0018560681,0.00029188258,0.00005367772,0.0003229672,0.45746526,0.00008346704,0.018654544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976527,0.00008885719,0.00021026812,0.00031233052,0.001254847,0.00048105654],"domain_scores_gemma":[0.98731416,0.0011652544,0.0022317586,0.000610377,0.007554011,0.0011244516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011747787,0.0005755907,0.00068299676,0.011707644,0.0019971177,0.0021171283,0.0017338209,0.0005833508,0.009302846],"category_scores_gemma":[0.0074831126,0.00034514526,0.0011450246,0.02917663,0.00033836937,0.00060700293,0.0012608046,0.000490856,0.0019052848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006045357,0.00022494784,0.8629843,0.0009399395,0.0005500309,0.00031108223,0.0007161977,0.0022701265,0.00033759655,0.0010907503,0.08446314,0.045507245],"study_design_scores_gemma":[0.00004162997,0.000029850446,0.96919703,0.00006806222,0.00015992968,0.00006164116,0.0005278956,0.0011540801,0.00020159881,0.00006790966,0.028452938,0.00003747943],"about_ca_topic_score_codex":0.99141884,"about_ca_topic_score_gemma":0.9937395,"teacher_disagreement_score":0.9782073,"about_ca_system_score_codex":0.021792736,"about_ca_system_score_gemma":0.03397237,"threshold_uncertainty_score":0.15811813},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.08250200079959302,"score_gpt":0.45540837541601764,"score_spread":0.3729063746164246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003391565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437768,0.00025362804,0.0017768444,0.00020186369,0.000022743454,0.0002826979,0.005921157,0.00008779808,0.04767651],"genre_scores_gemma":[0.9872119,0.00022420063,0.0039831083,0.000021607777,0.000010227829,0.00015887065,0.0039016653,0.000014147271,0.0044742115],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953365,0.00004317383,0.00003107397,0.00004135086,0.00021099953,0.00013975507],"domain_scores_gemma":[0.9988457,0.00005791447,0.00023443263,0.000048137306,0.0005932888,0.00022044255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004639363,0.00032456673,0.00016400177,0.0049714856,0.0014081777,0.0011235051,0.0005150815,0.00019643123,0.0042332895],"category_scores_gemma":[0.002376893,0.00011139807,0.0003283757,0.0039259847,0.00033104498,0.00065101724,0.0016352074,0.00032297213,0.0004689202],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075490345,0.0001189001,0.9021771,0.00018728942,0.00008291387,0.00026508135,0.007609513,0.0013662713,0.00110291,0.0029685653,0.005465083,0.07858086],"study_design_scores_gemma":[0.0000035465218,0.000045957142,0.97853136,0.000056739536,0.000026850825,0.00016897541,0.00831349,0.0010471755,0.00034160382,0.00043078457,0.011009742,0.000023700653],"about_ca_topic_score_codex":0.4385339,"about_ca_topic_score_gemma":0.5809347,"teacher_disagreement_score":0.4385339,"about_ca_system_score_codex":0.0030771364,"about_ca_system_score_gemma":0.0038524768,"threshold_uncertainty_score":0.87196267},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Business sector; Petroleum industry; Business; Agricultural economics; Economics; Geography; Economy; Engineering; Economic growth","score_opus":0.04496368053946059,"score_gpt":0.3614284307585204,"score_spread":0.3164647502190598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004022633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69685745,0.00415182,0.0010575001,0.0023591148,0.00017048867,0.00012692525,0.23824364,0.0005100632,0.056522924],"genre_scores_gemma":[0.72606075,0.0040123784,0.0011314029,0.00036431183,0.00010954618,0.000109048044,0.18242331,0.00012890779,0.08566033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860245,0.00004735796,0.00010040588,0.00017759549,0.00047027055,0.00060202973],"domain_scores_gemma":[0.9961991,0.00019868693,0.00073770416,0.0001466566,0.0023689095,0.00034884716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010569784,0.000632314,0.00031942246,0.004730434,0.0009013222,0.0021170296,0.0009071105,0.00022333351,0.0053707412],"category_scores_gemma":[0.0024274325,0.00029683593,0.0005157192,0.009033267,0.00044647153,0.0007613509,0.00090854295,0.000580734,0.002804001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029541145,0.000092594215,0.8182759,0.00045921007,0.0002660453,0.00039264763,0.0015559883,0.0032983038,0.0013033213,0.0010639165,0.09997778,0.07301888],"study_design_scores_gemma":[0.0000030743086,0.000018070268,0.97656405,0.000045578185,0.000015458058,0.000031448628,0.00081668067,0.00021489253,0.0003004118,0.000011926757,0.021966869,0.000011440572],"about_ca_topic_score_codex":0.9258992,"about_ca_topic_score_gemma":0.93387353,"teacher_disagreement_score":0.9830468,"about_ca_system_score_codex":0.016953142,"about_ca_system_score_gemma":0.0142294,"threshold_uncertainty_score":0.14907432},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Index (typography); Standard of living; Geography; Economic growth; Development economics; Political science; Economics","score_opus":0.1612383860185274,"score_gpt":0.31655836074024296,"score_spread":0.15531997472171555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004375104","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072919786,0.007484156,0.018049436,0.004183214,0.0005011778,0.00385525,0.65423477,0.0023603693,0.23641188],"genre_scores_gemma":[0.18072578,0.010516573,0.07639387,0.00079264585,0.00025607707,0.0050854767,0.51053715,0.0011135532,0.21457882],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980363,0.00014989643,0.00016261796,0.00019423195,0.0011964721,0.00026050492],"domain_scores_gemma":[0.98862576,0.0004376283,0.00035758657,0.00041014983,0.00957526,0.00059373793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018435401,0.0008531579,0.0004860341,0.01348646,0.0024269037,0.0026337786,0.0014906626,0.0003648531,0.017334418],"category_scores_gemma":[0.007408156,0.000569972,0.00048484723,0.022364672,0.00043909412,0.00088674563,0.0015568392,0.0011934664,0.007484671],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009416423,0.0001231754,0.11125229,0.0008681158,0.00009098352,0.00029460806,0.0010694936,0.003497006,0.0011817961,0.010688145,0.59197855,0.2788618],"study_design_scores_gemma":[0.000029394081,0.00003300689,0.4205729,0.0004270169,0.00003947605,0.00018616172,0.0009956434,0.0025193796,0.0010581543,0.0017254638,0.57229996,0.00011340315],"about_ca_topic_score_codex":0.963176,"about_ca_topic_score_gemma":0.9659114,"teacher_disagreement_score":0.036823988,"about_ca_system_score_codex":0.017275346,"about_ca_system_score_gemma":0.0333657,"threshold_uncertainty_score":0.12534201},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.13163956520932102,"score_gpt":0.3031476000062481,"score_spread":0.17150803479692706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036008237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97485924,0.00090572913,0.000111019195,0.0033525887,0.000021858432,0.000013099203,0.0026058394,0.000013771854,0.01811697],"genre_scores_gemma":[0.9966241,0.0006345632,0.000041530253,0.00019021689,0.000015250439,0.0000024797628,0.0010303525,0.000005378862,0.0014562261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994024,0.00004090706,0.000023154427,0.000063719905,0.0002762521,0.00019357831],"domain_scores_gemma":[0.99527586,0.00053453905,0.0014289689,0.00021678324,0.0019983116,0.0005454293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005751487,0.00020672167,0.00024339107,0.0013278048,0.0014847931,0.0013194254,0.00040547305,0.00053574453,0.004400729],"category_scores_gemma":[0.0042106127,0.00015973713,0.000483755,0.004266113,0.0012312651,0.0005128212,0.0008387847,0.00085023465,0.00024722557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001627094,0.00003003072,0.9806793,0.000049431328,0.00009497338,0.00027205804,0.0013676649,0.00057745655,0.0002580278,0.003036292,0.0048336615,0.008638425],"study_design_scores_gemma":[0.000005182177,0.0000070409005,0.9966534,0.000011484515,0.00002372778,0.000021450907,0.0008269332,0.00038950058,0.00008619542,0.00012234424,0.0018414583,0.000011377962],"about_ca_topic_score_codex":0.9792712,"about_ca_topic_score_gemma":0.97719085,"teacher_disagreement_score":0.020728827,"about_ca_system_score_codex":0.010667672,"about_ca_system_score_gemma":0.0117023755,"threshold_uncertainty_score":0.07739973},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Unemployment; Demographic economics; Economics; Labour economics; Unemployment rate; Geography; Economic growth","score_opus":0.040834814486773216,"score_gpt":0.34089286045633477,"score_spread":0.30005804596956154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046455153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96523505,0.0013722221,0.0000949446,0.0029244395,0.00009043655,0.00005085538,0.018229611,0.000028477049,0.011973843],"genre_scores_gemma":[0.98209846,0.0012822219,0.00015586344,0.00040266465,0.000039207593,0.000022866665,0.008094138,0.000013201247,0.0078913625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992685,0.000022191087,0.000032960415,0.000057756817,0.00026737497,0.0003511214],"domain_scores_gemma":[0.9979352,0.000038893348,0.0003389801,0.000032696495,0.000999,0.00065521896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007193712,0.00023518561,0.00031350317,0.0015041857,0.0027150966,0.0017861301,0.0008212575,0.00042436586,0.0023893837],"category_scores_gemma":[0.0022300442,0.00012287068,0.00038916102,0.0034512992,0.00059981534,0.0005890072,0.0010481012,0.00086322316,0.00043265807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025700976,0.00010000703,0.9290363,0.00020570133,0.00007659912,0.00034309278,0.0052481433,0.00062510604,0.0004511044,0.0009230537,0.016386738,0.046347227],"study_design_scores_gemma":[0.0000049957976,0.000023295815,0.98840207,0.000047336198,0.000009305206,0.000041428568,0.0027946078,0.00013276158,0.00007569383,0.000026284024,0.008426873,0.000015273576],"about_ca_topic_score_codex":0.99281514,"about_ca_topic_score_gemma":0.9970674,"teacher_disagreement_score":0.025798451,"about_ca_system_score_codex":0.025798451,"about_ca_system_score_gemma":0.042169824,"threshold_uncertainty_score":0.18718177},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.12616943857898477,"score_gpt":0.4043937127153335,"score_spread":0.2782242741363487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049290070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46343428,0.030773876,0.0008522351,0.29848596,0.001189878,0.00033752437,0.011120339,0.00016330549,0.19364265],"genre_scores_gemma":[0.9294535,0.016866643,0.0011502786,0.011727316,0.00013265149,0.000085467786,0.0017793401,0.00005920023,0.038745593],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9964169,0.00019525141,0.000059955233,0.00011118207,0.0012938277,0.0019228391],"domain_scores_gemma":[0.9945767,0.0003519339,0.00027629046,0.000064076674,0.0018686953,0.0028623147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016113764,0.00030036768,0.00043982783,0.0029556255,0.017209923,0.0060667386,0.0014759275,0.001321016,0.0071872654],"category_scores_gemma":[0.004544114,0.0003788222,0.00045152922,0.006365784,0.0031814429,0.00159329,0.0035947314,0.002504392,0.0002994216],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016120993,0.0002275827,0.25651368,0.00074048195,0.00012915244,0.0012588114,0.026840765,0.0020918755,0.00048033503,0.14613716,0.36758164,0.19783726],"study_design_scores_gemma":[0.00004693818,0.000066541244,0.5255024,0.00144439,0.000077340614,0.00019299515,0.059711646,0.0019504576,0.00034288203,0.0077170315,0.4027524,0.00019502548],"about_ca_topic_score_codex":0.9993254,"about_ca_topic_score_gemma":0.9997185,"teacher_disagreement_score":0.21469599,"about_ca_system_score_codex":0.21469599,"about_ca_system_score_gemma":0.43089378,"threshold_uncertainty_score":0.91084135},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Index (typography); Consumption (sociology); Socioeconomics; Agricultural economics; Economics; Sociology","score_opus":0.0835150804549297,"score_gpt":0.31038425187347896,"score_spread":0.22686917141854926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049595322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60971516,0.0018737878,0.0006755347,0.0014506883,0.000140519,0.00011472775,0.34455353,0.0002092256,0.041266825],"genre_scores_gemma":[0.6758962,0.0022757747,0.0015410857,0.0002017243,0.00007766203,0.00025155095,0.27934134,0.000049417744,0.040365182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954766,0.00002376267,0.000042371154,0.000057618287,0.00015905869,0.000169409],"domain_scores_gemma":[0.99780935,0.00009199124,0.0006600952,0.00010397186,0.0010000559,0.0003346396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062690955,0.0004933865,0.00027872206,0.0030762004,0.0006044109,0.0011705752,0.0005745887,0.00016249903,0.003611664],"category_scores_gemma":[0.0020816855,0.00015936456,0.00034925342,0.004412467,0.00032281608,0.0007988164,0.001141794,0.000659191,0.0012782625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012921491,0.00005339497,0.8641458,0.00016641029,0.00019859936,0.00010488161,0.000653744,0.0016093508,0.00024449418,0.00089597824,0.096258275,0.03553992],"study_design_scores_gemma":[0.0000016446216,0.000007681603,0.9835681,0.000020671632,0.000009105312,0.000016207287,0.0004072474,0.000092988594,0.000066367036,0.000020322113,0.015781445,0.00000827189],"about_ca_topic_score_codex":0.8715505,"about_ca_topic_score_gemma":0.91419184,"teacher_disagreement_score":0.1284495,"about_ca_system_score_codex":0.009615195,"about_ca_system_score_gemma":0.005495807,"threshold_uncertainty_score":0.25841188},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.3435926133482311,"score_gpt":0.5816068797169386,"score_spread":0.23801426636870748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092337106","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013547831,0.9888736,0.00024327592,0.0049749007,0.00035915643,0.000070892456,0.00030369207,0.000012583437,0.0038071023],"genre_scores_gemma":[0.009397977,0.9878577,0.00094866025,0.001229843,0.00009567916,0.000065067754,0.00022773122,0.000006021626,0.00017121175],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98717064,0.0043775607,0.0032535053,0.0006647561,0.0038071426,0.00072633463],"domain_scores_gemma":[0.926876,0.046816077,0.006332987,0.0009697188,0.017625635,0.0013796265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018433655,0.0008963878,0.0018184815,0.01851485,0.0021667772,0.005477126,0.0023392632,0.001806717,0.003850122],"category_scores_gemma":[0.058018938,0.00080567197,0.0022189452,0.02845696,0.0021335466,0.0032093998,0.0018847873,0.0019764474,0.0005481121],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000133629,0.00008339298,0.0045292336,0.33617985,0.00085978676,0.0005188557,0.010253038,0.0006663086,0.00027968123,0.006664091,0.05471568,0.5851164],"study_design_scores_gemma":[0.000022477332,0.00004820901,0.009844956,0.7759819,0.0014820765,0.00032015858,0.008225992,0.00009942114,0.00025043052,0.00087937794,0.20279166,0.00005329502],"about_ca_topic_score_codex":0.34413564,"about_ca_topic_score_gemma":0.47032702,"teacher_disagreement_score":0.34413564,"about_ca_system_score_codex":0.018694382,"about_ca_system_score_gemma":0.09520504,"threshold_uncertainty_score":0.68426514},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.13302276414959707,"score_gpt":0.2979899044785702,"score_spread":0.16496714032897314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121228658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72005576,0.021632506,0.0010132447,0.118612126,0.00024292749,0.00006461564,0.009024922,0.00010007532,0.12925386],"genre_scores_gemma":[0.98585343,0.0058439826,0.0003630885,0.002295599,0.000046419114,0.000012498791,0.0016218467,0.000023968209,0.0039391243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997928,0.00008972408,0.00005528563,0.00015208995,0.00081446907,0.00096040004],"domain_scores_gemma":[0.99390393,0.0011381321,0.0010659574,0.0001067125,0.0027872422,0.0009980141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015233895,0.00018607065,0.00034820684,0.0032900367,0.0027014846,0.0033968012,0.0008848571,0.0006771288,0.0049474486],"category_scores_gemma":[0.007844792,0.0001732381,0.00038754518,0.008292033,0.001697522,0.0011282788,0.001072198,0.0011564074,0.00032759554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025245635,0.00011459983,0.5982651,0.00088028284,0.00013145705,0.0009249833,0.017230771,0.0020809942,0.0009312557,0.12052469,0.099620596,0.15904284],"study_design_scores_gemma":[0.000017031498,0.000025700368,0.91493636,0.00053746224,0.000056982222,0.00013380645,0.012984125,0.001387657,0.00055047707,0.003137233,0.066176705,0.000056437722],"about_ca_topic_score_codex":0.99177414,"about_ca_topic_score_gemma":0.99288756,"teacher_disagreement_score":0.060079794,"about_ca_system_score_codex":0.060079794,"about_ca_system_score_gemma":0.058233816,"threshold_uncertainty_score":0.43591148},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.2078641001360886,"score_gpt":0.4462212214413705,"score_spread":0.2383571213052819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121978508","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049332436,0.036950942,0.00537393,0.65924835,0.0117658395,0.0006314227,0.014533583,0.0009820231,0.26558068],"genre_scores_gemma":[0.11519133,0.09641165,0.093226984,0.32935047,0.0029482567,0.001617849,0.023253046,0.001038787,0.3369616],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9868514,0.0009910222,0.00030719733,0.00035440305,0.008337811,0.0031581498],"domain_scores_gemma":[0.9820795,0.00071302056,0.00030241348,0.00023321724,0.009787162,0.0068846643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010276602,0.001349318,0.0009966006,0.0038969486,0.012762996,0.01229042,0.0044416,0.008159694,0.01466331],"category_scores_gemma":[0.012139247,0.000590333,0.0014931536,0.005238998,0.004040341,0.004752123,0.007061468,0.008651348,0.0034112274],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021758566,0.000045855308,0.00080258027,0.00036490368,0.000022308528,0.00014451508,0.0009020512,0.0005064505,0.0002472471,0.107923135,0.8510015,0.038017664],"study_design_scores_gemma":[0.000008472118,0.000010983219,0.0018431572,0.00034268206,0.000016350597,0.000029562303,0.0016482727,0.00029093036,0.00013935541,0.009759483,0.98587185,0.00003888753],"about_ca_topic_score_codex":0.98853594,"about_ca_topic_score_gemma":0.99150133,"teacher_disagreement_score":0.11379446,"about_ca_system_score_codex":0.11379446,"about_ca_system_score_gemma":0.6759992,"threshold_uncertainty_score":0.82564044},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.1499271883438947,"score_gpt":0.4704006801898055,"score_spread":0.3204734918459108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122245510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769034,0.00063752197,0.0001924061,0.00037597353,0.000016249873,0.000025038371,0.0053880718,0.000013539068,0.016447734],"genre_scores_gemma":[0.99497765,0.00032116642,0.00018123281,0.000047444522,0.000006237092,0.000012459602,0.003565247,0.000005511117,0.0008830485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990182,0.00006609765,0.000039591574,0.00008704844,0.00045220577,0.00033686066],"domain_scores_gemma":[0.9976152,0.00017814201,0.00029207722,0.00006143338,0.0013628012,0.00049041014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006137564,0.0002291123,0.0003623266,0.004047118,0.0019876873,0.0015133222,0.00045617542,0.00015518258,0.002038849],"category_scores_gemma":[0.0031690309,0.0000920354,0.00037341705,0.010260928,0.0006076495,0.0004646584,0.0011645578,0.00048083617,0.000120265766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001319411,0.000057925197,0.9659842,0.000045620887,0.00014146966,0.00011662352,0.0019593656,0.0009679834,0.00016869488,0.0029397013,0.003587841,0.023898607],"study_design_scores_gemma":[0.0000030035972,0.000009321519,0.99662054,0.000021069929,0.000012536157,0.00001593545,0.0010285836,0.0003359724,0.000041206087,0.00008940312,0.0018128866,0.0000094254365],"about_ca_topic_score_codex":0.9906081,"about_ca_topic_score_gemma":0.9939022,"teacher_disagreement_score":0.01468856,"about_ca_system_score_codex":0.01468856,"about_ca_system_score_gemma":0.014206124,"threshold_uncertainty_score":0.10657346},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.05722011432597924,"score_gpt":0.3320392608288657,"score_spread":0.27481914650288647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123160566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6937934,0.005288483,0.0012882458,0.0031862122,0.00006412256,0.00016525092,0.20972025,0.0003436759,0.086150475],"genre_scores_gemma":[0.87643284,0.0063192793,0.0020834657,0.00024194352,0.00002575307,0.00005081767,0.0802833,0.00006396434,0.03449861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986486,0.000025541818,0.000045820936,0.00009767583,0.0007054317,0.00047692354],"domain_scores_gemma":[0.9963319,0.00010853038,0.00022587705,0.000051604093,0.0030138434,0.0002682589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006206133,0.00042492268,0.0002642084,0.008377395,0.001549714,0.0020840822,0.0006632124,0.0002782712,0.004412276],"category_scores_gemma":[0.0019846598,0.0002018723,0.0005584344,0.02086532,0.00028517543,0.0005992619,0.00045309024,0.0004894261,0.0007911511],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028641958,0.00008212337,0.7212255,0.00060028967,0.00024225148,0.0005263854,0.0028967108,0.0071404204,0.0043798485,0.009849971,0.07224274,0.18052725],"study_design_scores_gemma":[0.000001963566,0.000016435268,0.9577183,0.000043330903,0.000022203687,0.000038657985,0.0009745555,0.0011820891,0.0005254248,0.00008487502,0.039366312,0.000025727464],"about_ca_topic_score_codex":0.9942409,"about_ca_topic_score_gemma":0.996372,"teacher_disagreement_score":0.033530697,"about_ca_system_score_codex":0.033530697,"about_ca_system_score_gemma":0.04388927,"threshold_uncertainty_score":0.24328339},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economics; Economic inequality; Sample (material); Demographic economics; Inequality","score_opus":0.11502165638761591,"score_gpt":0.29394981239872386,"score_spread":0.17892815601110795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124273044","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40401047,0.009457096,0.00376224,0.0036207947,0.00014331599,0.0004163844,0.5135862,0.00048352458,0.06451992],"genre_scores_gemma":[0.6874064,0.007435045,0.006715188,0.00039603515,0.00006768161,0.00038792685,0.27346155,0.000105826475,0.024024354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977114,0.0000782572,0.00010009916,0.00012485444,0.0015777264,0.0004076432],"domain_scores_gemma":[0.9940071,0.00018604174,0.00050576596,0.00011086104,0.0045965947,0.00059355114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019075839,0.0006393913,0.00059741107,0.010390374,0.0025727188,0.0020852685,0.0014936435,0.00030911303,0.002867501],"category_scores_gemma":[0.004448764,0.00031018732,0.00094111817,0.018002085,0.0005352918,0.0007849195,0.00151136,0.00093378965,0.0005189001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026890874,0.000088195244,0.7307127,0.0004764763,0.0004438484,0.00013172446,0.002635752,0.0036011827,0.00023081727,0.010475278,0.16395764,0.08697747],"study_design_scores_gemma":[0.000009676806,0.000013383507,0.95142955,0.00007413577,0.000047377445,0.00003399661,0.0009303043,0.0011174942,0.00014031582,0.00017939875,0.045977212,0.000047169335],"about_ca_topic_score_codex":0.9970433,"about_ca_topic_score_gemma":0.9975197,"teacher_disagreement_score":0.0608109,"about_ca_system_score_codex":0.0608109,"about_ca_system_score_gemma":0.048728906,"threshold_uncertainty_score":0.44121605},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.01917461687869956,"score_gpt":0.3448338257878763,"score_spread":0.32565920890917677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125351386","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018141398,0.002501186,0.0064694462,0.003700746,0.0005019138,0.0014042631,0.33948883,0.0012758359,0.6265164],"genre_scores_gemma":[0.1618077,0.005691032,0.031192712,0.0010135332,0.00013631115,0.0021933278,0.59178334,0.0005038497,0.20567825],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9867351,0.0006898851,0.00077833596,0.00046448293,0.009680716,0.0016515648],"domain_scores_gemma":[0.9748301,0.0005640309,0.0018401656,0.000624211,0.02050161,0.0016399809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005693525,0.0011293293,0.00052734744,0.020119395,0.0015930451,0.003716961,0.0015137712,0.0005089185,0.015159555],"category_scores_gemma":[0.013298593,0.0003051717,0.00056618726,0.029141506,0.00081746996,0.0018339012,0.002630255,0.0015617358,0.003736178],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009491138,0.00013258535,0.07599399,0.0011758454,0.00009852212,0.0000761047,0.00074847986,0.0029583229,0.00055440713,0.08185433,0.66931474,0.16699776],"study_design_scores_gemma":[0.000012853314,0.000033116914,0.124246895,0.0004107792,0.000021164751,0.00004363415,0.0007473867,0.00091315515,0.0005679908,0.0038761958,0.86909074,0.000036046426],"about_ca_topic_score_codex":0.72046083,"about_ca_topic_score_gemma":0.79564327,"teacher_disagreement_score":0.72046083,"about_ca_system_score_codex":0.024504878,"about_ca_system_score_gemma":0.061861776,"threshold_uncertainty_score":0.56237084},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.17952767184705212,"score_gpt":0.4094642096019894,"score_spread":0.2299365377549373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142421406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8318907,0.007731599,0.0005549378,0.035006337,0.00026904178,0.0000642541,0.015911333,0.00020279133,0.10836905],"genre_scores_gemma":[0.98397774,0.0024910045,0.00022156879,0.00079890795,0.00004269834,0.0000059210906,0.0019763473,0.00003823055,0.010447441],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986298,0.000020974498,0.000035329867,0.00013160707,0.0005217262,0.0006605454],"domain_scores_gemma":[0.996968,0.00012682877,0.00039500845,0.00008510635,0.0018282807,0.00059684645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049543794,0.00023577406,0.00029800335,0.0025471153,0.0043707364,0.0035839616,0.0011061497,0.00052771554,0.0069111986],"category_scores_gemma":[0.0031319777,0.00022065622,0.00046133617,0.00731976,0.0014242458,0.001292109,0.0011869498,0.0010469476,0.000531576],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021685266,0.000053565876,0.7391831,0.00037134902,0.000116698975,0.0022280517,0.012826413,0.0019856335,0.0019861127,0.055675697,0.091768,0.09358843],"study_design_scores_gemma":[0.000011187784,0.000015783926,0.894816,0.00025395377,0.000043117678,0.00035075896,0.01252094,0.001769946,0.0010264139,0.0018691006,0.08725298,0.000069862064],"about_ca_topic_score_codex":0.99712557,"about_ca_topic_score_gemma":0.99778616,"teacher_disagreement_score":0.92130077,"about_ca_system_score_codex":0.07869923,"about_ca_system_score_gemma":0.0641232,"threshold_uncertainty_score":0.5710056},"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,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_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","score_opus":0.041894260638732965,"score_gpt":0.29775389347576414,"score_spread":0.25585963283703117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211443375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8033503,0.0058713737,0.0009477038,0.0031185604,0.0001544426,0.00022328607,0.14907068,0.0001365031,0.03712715],"genre_scores_gemma":[0.8618318,0.0070509166,0.0012407269,0.00042591218,0.00006714609,0.0001502237,0.08853258,0.000063722684,0.040636916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988286,0.000043375025,0.000111469875,0.00010576466,0.0005476457,0.0003631594],"domain_scores_gemma":[0.9974942,0.0001554437,0.0004966969,0.000074470125,0.0016271814,0.00015207821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008506675,0.00056235655,0.00042823557,0.005388796,0.00082050887,0.002111804,0.0010733155,0.0003139039,0.0026154262],"category_scores_gemma":[0.0021133712,0.00031765475,0.0004547724,0.015424386,0.0003859041,0.00073733437,0.0008683016,0.0005772909,0.0012491376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002653177,0.00007686046,0.88660634,0.00064233685,0.00022475794,0.0011245123,0.0026898785,0.009113811,0.00298858,0.001995193,0.025986198,0.06828622],"study_design_scores_gemma":[0.000003702713,0.000018204928,0.9703599,0.00007921024,0.000018816916,0.0000682986,0.0012741843,0.00061981013,0.0007560806,0.000043657277,0.02673604,0.00002204631],"about_ca_topic_score_codex":0.950559,"about_ca_topic_score_gemma":0.9771627,"teacher_disagreement_score":0.04944098,"about_ca_system_score_codex":0.036736377,"about_ca_system_score_gemma":0.021906877,"threshold_uncertainty_score":0.26654232},"labels":[],"label_agreement":null}]}