{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":15,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":15,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"5d79a3e063e3","filters":{"venue":"Journal of Applied Finance and Banking"}},"results":[{"id":"W2186199258","doi":"","title":"Factors that Influence Financial Leverage of Canadian Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":69,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Leverage (statistics); Business; Stock exchange; Profitability index; Subsidiary; Finance; Collateralized debt obligation; Financial system; Multinational corporation; Collateral","authors":[{"name":"Amarjit Gill","is_ca":false},{"name":"N. D. Mathur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0352369509062893,"gpt":0.1863648801830687,"spread":0.1511279292767794,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008940762,0.0002547899,0.0002615212,0.001672244,0.002375229,0.001737507,0.000397815,0.0003440155,0.002321886],"category_scores_gemma":[0.008278944,0.0001204377,0.0002450648,0.002963506,0.0007693971,0.0004751379,0.0007798865,0.0004218901,0.0001185723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01678743,"about_ca_system_score_gemma":0.01723241,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9626766,"about_ca_topic_score_gemma":0.9809762,"domain_scores_codex":[0.9987146,0.0001144726,0.00004879373,0.0001187364,0.0006322135,0.000371263],"domain_scores_gemma":[0.9946708,0.0006403603,0.001828387,0.000149449,0.001614919,0.001095939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009290151,0.00004879722,0.9821878,0.00002084971,0.00003693291,0.0001781646,0.002281196,0.0002031609,0.0004877496,0.0006558532,0.001097427,0.0127091],"study_design_scores_gemma":[0.000002464883,0.00001512801,0.9972851,0.00001057101,0.000007929025,0.00002921281,0.001335065,0.0001252586,0.0000531544,0.0000485921,0.001078189,0.000009215127],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928311,0.000385793,0.00004951679,0.0002732889,0.000005865475,0.00001847711,0.0003585429,0.000003845352,0.006073544],"genre_scores_gemma":[0.9990934,0.0001478769,0.00004174367,0.00002627298,0.000003439885,0.000003831834,0.0001587184,9.980408e-7,0.0005237129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03732342,"threshold_uncertainty_score":0.1218019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2182758244","doi":"","title":"Board Size, CEO Duality, and the Value of Canadian Manufacturing Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":58,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Chief executive officer; Business; Stock exchange; Value (mathematics); Sample (material); Enterprise value; Duality (order theory); Manufacturing; Accounting; Industrial organization; Marketing; Economics; Finance; Management","authors":[{"name":"Amarjit Gill","is_ca":false},{"name":"N. D. Mathur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01625082580126176,"gpt":0.1810073148478987,"spread":0.164756489046637,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006501875,0.0001870686,0.0002182229,0.001762641,0.001905713,0.001679616,0.0004324632,0.0002689984,0.001952986],"category_scores_gemma":[0.007020785,0.0001014549,0.0001877729,0.002340924,0.000693316,0.0004155873,0.0006000692,0.0003884503,0.0001010978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0192351,"about_ca_system_score_gemma":0.0120192,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9159906,"about_ca_topic_score_gemma":0.9608115,"domain_scores_codex":[0.9990798,0.00007651681,0.00002526119,0.00006223573,0.0005198476,0.000236315],"domain_scores_gemma":[0.9928595,0.0009450986,0.002623082,0.0001341667,0.001981093,0.001457113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001087195,0.00006075085,0.9851457,0.00002111396,0.00003100868,0.0001542046,0.0009825062,0.0003113709,0.0003611979,0.00126322,0.001228405,0.01033195],"study_design_scores_gemma":[0.000003784599,0.00001949013,0.9966182,0.0000125237,0.0000106357,0.00003803521,0.001436319,0.0002431674,0.00009469739,0.0001339779,0.001381142,0.000008054967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993507,0.0004036856,0.00003901013,0.000238452,0.00000667673,0.000009325308,0.0003495938,0.000001888798,0.005444363],"genre_scores_gemma":[0.999089,0.0001245069,0.00003088696,0.00001456279,0.000003817074,0.000001674342,0.0001653105,6.485398e-7,0.0005696666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08400941,"threshold_uncertainty_score":0.1690083,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2184771233","doi":"","title":"The Impact of Board Size, CEO Duality, and Corporate Liquidity on the Profitability of Canadian Service Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":50,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Profitability index; Business; Market liquidity; Stock exchange; Service (business); Accounting; Chief executive officer; Marketing; Finance; Economics; Management","authors":[{"name":"Amarjit Gill","is_ca":false},{"name":"N. D. Mathur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04893828705459791,"gpt":0.2191041974554823,"spread":0.1701659104008844,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007345473,0.0001921822,0.0002119963,0.001340936,0.001892465,0.001554968,0.0004170481,0.0003449291,0.001769274],"category_scores_gemma":[0.006118801,0.00009560736,0.0001642431,0.002101121,0.0008997516,0.000436909,0.0005687542,0.0004533058,0.0001356071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01444127,"about_ca_system_score_gemma":0.01297486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8725001,"about_ca_topic_score_gemma":0.9413795,"domain_scores_codex":[0.9988196,0.0001344266,0.00003923029,0.00007353877,0.0005469883,0.0003862077],"domain_scores_gemma":[0.9920236,0.001436136,0.002708488,0.00009285335,0.001841076,0.001897922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000182685,0.00009753843,0.987673,0.00001751261,0.00001790932,0.0001673715,0.0008971413,0.000206874,0.0004221844,0.0003458046,0.0007395007,0.009232474],"study_design_scores_gemma":[0.000003244599,0.00003668818,0.9978734,0.000006546918,0.000009356765,0.0000291443,0.001343255,0.0001368864,0.00007803751,0.00003883401,0.0004386785,0.000005819863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979618,0.000201252,0.00001590927,0.000158446,0.000002606736,0.000006019494,0.0001291791,0.00000121747,0.001523633],"genre_scores_gemma":[0.9992887,0.0001351787,0.00003057258,0.00002101111,0.000004691777,0.000002359517,0.0001374589,6.059782e-7,0.0003794639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1274999,"threshold_uncertainty_score":0.2565016,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2186462187","doi":"","title":"Factors that Affect Potential Growth of Canadian Firms","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Stock exchange; Affect (linguistics); Leverage (statistics); Market liquidity; Business; Cash flow; Sample (material); Monetary economics; Finance; Demographic economics; Economics","authors":[{"name":"Amarjit Gill","is_ca":false},{"name":"N. D. Mathur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05627598081609543,"gpt":0.1950534018430107,"spread":0.1387774210269153,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069911,0.0002600421,0.0001867363,0.001859851,0.002228519,0.002071934,0.0004539531,0.0003842265,0.00209404],"category_scores_gemma":[0.006265349,0.00008574696,0.0002420283,0.002979991,0.000714841,0.0007085493,0.0008284612,0.0005891165,0.0001628173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01674188,"about_ca_system_score_gemma":0.01775512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9381474,"about_ca_topic_score_gemma":0.9587393,"domain_scores_codex":[0.9993094,0.00005549288,0.00002427064,0.00006604829,0.0003245447,0.0002202727],"domain_scores_gemma":[0.9943479,0.0007963989,0.001331289,0.0001442461,0.002282285,0.001097916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001219505,0.00005643655,0.9768946,0.00002600439,0.00001748504,0.0001717344,0.001751421,0.0007973271,0.0005865734,0.001519245,0.001278669,0.01677858],"study_design_scores_gemma":[0.000002350161,0.00001994234,0.9948137,0.00001249168,0.00000746708,0.00004145382,0.002219122,0.0005721326,0.0001466437,0.0002057013,0.001946998,0.00001213343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883357,0.0005200184,0.0001001085,0.0005811729,0.000006638165,0.00002129835,0.0009155777,0.000008440402,0.009511051],"genre_scores_gemma":[0.9984578,0.0002378901,0.00008737002,0.00001935919,0.000004129211,0.000004173922,0.0003649495,0.000001596686,0.0008227567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06185263,"threshold_uncertainty_score":0.1244338,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2184743580","doi":"","title":"Factors that Influence Corporate Liquidity Holdings in Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Market liquidity; Business; Stock exchange; Liquidity risk; Liquidity crisis; Accounting liquidity; Working capital; Debt; Financial system; Monetary economics; Accounting; Finance; Economics","authors":[{"name":"Amarjit Gill","is_ca":false},{"name":"N. D. Mathur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0381274480858629,"gpt":0.1742830552372641,"spread":0.1361556071514012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005076958,0.000196279,0.0001972823,0.001479246,0.002917167,0.001477258,0.0006165689,0.0003453702,0.002289001],"category_scores_gemma":[0.003203986,0.000153764,0.0002480735,0.00314266,0.0009256279,0.0003752309,0.0006885458,0.0004618479,0.0001155322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02649833,"about_ca_system_score_gemma":0.0308306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941678,"about_ca_topic_score_gemma":0.9966648,"domain_scores_codex":[0.9994208,0.00004512679,0.00002829683,0.00006657607,0.0002056683,0.0002336005],"domain_scores_gemma":[0.9970542,0.0003932092,0.0009100102,0.00005377323,0.0009748146,0.0006140792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009843426,0.00004150472,0.9850123,0.00002912845,0.00002855956,0.0002151021,0.002510921,0.0002860239,0.0004389707,0.0003697008,0.0009997459,0.009969601],"study_design_scores_gemma":[0.000003904519,0.0000150504,0.9955657,0.00002141017,0.00001280183,0.00004172756,0.00284318,0.0002543429,0.0001005287,0.00004780859,0.001082938,0.0000104408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996469,0.0005309301,0.00003914618,0.0003818606,0.000004441742,0.00001261455,0.0005700846,0.000003950993,0.001987894],"genre_scores_gemma":[0.9988165,0.000225633,0.00005864407,0.00003440478,0.000002671806,0.000003757989,0.0002610235,0.000001351862,0.000596031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02649833,"threshold_uncertainty_score":0.1922597,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2360383777","doi":"","title":"Trapped in the Here and Now - New Insights into Financial Market Analyst Behavior","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Herding; Herd behavior; Economics; Interest rate; Financial market; Econometrics; Financial economics; Normative; Finance; Geography; Political science","authors":[{"name":"Markus Spiwoks","is_ca":false},{"name":"Zulia Gubaydullina","is_ca":false},{"name":"Oliver Hein","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04878205432480674,"gpt":0.2285819934652763,"spread":0.1797999391404695,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003064428,0.0002564542,0.0003265516,0.001476415,0.0006441999,0.00322873,0.000494624,0.001018315,0.002932976],"category_scores_gemma":[0.01756241,0.0002291387,0.0002645479,0.001134833,0.001831931,0.00736901,0.001002893,0.001250714,0.0003973636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006266431,"about_ca_system_score_gemma":0.0004704323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001643974,"about_ca_topic_score_gemma":0.002981125,"domain_scores_codex":[0.9986997,0.0005576608,0.00006846355,0.0002872314,0.0002880458,0.00009900679],"domain_scores_gemma":[0.9896772,0.005433214,0.002740848,0.001178951,0.0006878078,0.0002818739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008624834,0.0002902437,0.392363,0.000600593,0.0004022442,0.001529576,0.05937701,0.006366888,0.01742895,0.1733461,0.01360935,0.3338236],"study_design_scores_gemma":[0.0000624045,0.0005054183,0.4116202,0.0005200199,0.0002169732,0.003792133,0.04841531,0.06879936,0.006853349,0.3653839,0.09352149,0.000309357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592252,0.00836559,0.06754959,0.03288842,0.0004288078,0.00003438026,0.0007314404,0.0003657801,0.03041086],"genre_scores_gemma":[0.9903384,0.001273931,0.005324367,0.00115689,0.0002441694,0.000007972946,0.0001217201,0.00003844199,0.001494161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00322873,"threshold_uncertainty_score":0.01620644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2182944119","doi":"","title":"Analyzing Integration between Stock Market of Turkey and G8 Nations with Maki Cointegration Test","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Cointegration; Stock (firearms); Stock market; Economics; Unit root; Diversification (marketing strategy); Unit root test; Financial economics; Portfolio; Econometrics; Structural break; Monetary economics; Business; Geography","authors":[{"name":"Feyyaz Zeren","is_ca":false},{"name":"Mustafa KoÃ","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0130082107684642,"gpt":0.2048321778475231,"spread":0.1918239670790589,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007360269,0.000354723,0.0003736383,0.002100091,0.0002599588,0.0009652002,0.0002072824,0.0003152797,0.00402158],"category_scores_gemma":[0.002971309,0.00009444045,0.0004450445,0.0019874,0.0002328144,0.0008046278,0.0004960799,0.0003973068,0.0004276808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003830054,"about_ca_system_score_gemma":0.0003556528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005112837,"about_ca_topic_score_gemma":0.003837391,"domain_scores_codex":[0.9994345,0.00009257371,0.00006235058,0.0001156627,0.0001682938,0.0001265771],"domain_scores_gemma":[0.9983029,0.0005111556,0.000681598,0.00009562388,0.0002773113,0.0001314346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001664111,0.0000632088,0.9756995,0.00003717342,0.0002489543,0.0006190025,0.0003150203,0.002106945,0.0009499095,0.001776103,0.0009345767,0.01708324],"study_design_scores_gemma":[0.00001066673,0.0001591481,0.9801447,0.00002007921,0.0001066548,0.0002710579,0.0006221376,0.0159175,0.0007316101,0.0008047013,0.001195431,0.00001614315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951032,0.0002382248,0.001233704,0.00008116622,0.00001319074,0.00001288628,0.0004604435,0.00001693363,0.002840282],"genre_scores_gemma":[0.9984868,0.00006448435,0.0002887173,0.000007296551,0.00001154191,0.000009011885,0.0007685087,0.000003324177,0.0003602505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005112837,"threshold_uncertainty_score":0.01345354,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2183844499","doi":"","title":"Listing Standards and IPO Performance: Is More Regulation Better?","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Acadia University","funders":"","keywords":"Listing (finance); Initial public offering; Business; Accounting; Sample (material); Monetary economics; Mechanism (biology); Economics; Finance; Chemistry","authors":[{"name":"Igor Semenenko","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01147327277580992,"gpt":0.2125955074717628,"spread":0.2011222346959528,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007194926,0.0001918386,0.0005478081,0.00135022,0.000727748,0.005546304,0.000706616,0.003067958,0.008484962],"category_scores_gemma":[0.02933475,0.000186865,0.0005490413,0.002340407,0.003348136,0.004292243,0.001074988,0.001876866,0.0004973519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646275,"about_ca_system_score_gemma":0.001607011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005488462,"about_ca_topic_score_gemma":0.004907634,"domain_scores_codex":[0.9935854,0.002210439,0.0006649201,0.000796655,0.001885539,0.000857062],"domain_scores_gemma":[0.892491,0.02080789,0.07432926,0.004436972,0.003978974,0.003955829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002427218,0.0004905732,0.9347191,0.0001352577,0.0001760436,0.0001673841,0.001519832,0.0007585773,0.001277954,0.008667207,0.001683733,0.05016156],"study_design_scores_gemma":[0.00002972639,0.000224315,0.9895324,0.00010348,0.00007304735,0.0001171779,0.001006444,0.0004455586,0.0005899203,0.004406216,0.003439854,0.00003192195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595165,0.00292948,0.001429276,0.02075027,0.00009018053,0.0000207874,0.0002239268,0.00003505739,0.01500459],"genre_scores_gemma":[0.997339,0.0003314089,0.0001667996,0.001225912,0.0001801586,0.000004168585,0.0001119462,0.000007135197,0.000633402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008484962,"threshold_uncertainty_score":0.03805083,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2186774769","doi":"","title":"Accounting Conservatism, Market Liquidity and Informativeness of Asset Price: Implications on Mark to Market Accounting","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McMaster University","funders":"","keywords":"Market liquidity; Conservatism; Asset (computer security); Economics; Market impact; Financial economics; Monetary economics; Business; Market microstructure; Finance; Order (exchange)","authors":[{"name":"Guo Ying Luo","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007931511765539157,"gpt":0.2095378603889502,"spread":0.2016063486234111,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004668241,0.000343546,0.0006477383,0.0009076903,0.0005148273,0.002560329,0.0006049005,0.0008712685,0.003501247],"category_scores_gemma":[0.04547365,0.0002448105,0.0003877878,0.0008237377,0.003494148,0.005505503,0.001555172,0.001454121,0.0001436636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008032928,"about_ca_system_score_gemma":0.000683099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008441097,"about_ca_topic_score_gemma":0.0004964307,"domain_scores_codex":[0.9979625,0.0008261623,0.0001439463,0.000259383,0.0005874407,0.0002206328],"domain_scores_gemma":[0.93146,0.04152945,0.02091386,0.00361956,0.001735141,0.0007419761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007832351,0.0003152486,0.07861616,0.0002845978,0.0001719432,0.001452915,0.002082932,0.100969,0.007089841,0.7469069,0.0009459176,0.06038126],"study_design_scores_gemma":[0.00006777183,0.0002411098,0.04734162,0.00008497282,0.00009653296,0.0004673002,0.0006921771,0.1689682,0.002880042,0.7777851,0.001296931,0.0000783702],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140458,0.001362397,0.05965097,0.004471686,0.00004253549,0.00003046678,0.00008260478,0.00007637531,0.02023723],"genre_scores_gemma":[0.9984219,0.0001261055,0.0009653217,0.00005826392,0.0000378537,0.000003659832,0.000008055752,0.000003035838,0.0003758846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004668241,"threshold_uncertainty_score":0.0246883,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2396047105","doi":"","title":"How does Corporate Governance Affect Free Cash Flow","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Financial Reporting and Valuation Research","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Free cash flow; Cash flow statement; Cash flow; Operating cash flow; Corporate governance; Cash management; Business; Cash flow forecasting; Monetary economics; Economics; Finance","authors":[{"name":"Dan Lin","is_ca":false},{"name":"Lu Lin","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02947220980811829,"gpt":0.2397922880396125,"spread":0.2103200782314942,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001341847,0.00009626347,0.0002078639,0.0009008886,0.0007083562,0.002419148,0.0002814778,0.0004837813,0.002172238],"category_scores_gemma":[0.01226488,0.0001009275,0.0001915825,0.001048111,0.001386589,0.001009809,0.0005214747,0.0004144619,0.0002122663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003538843,"about_ca_system_score_gemma":0.002636666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2213757,"about_ca_topic_score_gemma":0.3170654,"domain_scores_codex":[0.9990473,0.0001583163,0.00003909901,0.0001035774,0.0002681681,0.0003834454],"domain_scores_gemma":[0.9848492,0.002952667,0.007410757,0.000617531,0.00205134,0.002118414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001123452,0.00007693074,0.9818859,0.00001678902,0.00004761039,0.00008652155,0.0009733044,0.001009625,0.0005528981,0.003179614,0.0007553438,0.01130312],"study_design_scores_gemma":[0.000005878033,0.0000280348,0.9965274,0.00001226666,0.0000106916,0.00001947476,0.00075014,0.000436113,0.0001282902,0.0008946576,0.00117654,0.00001057212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919763,0.000216801,0.0001740725,0.00062475,0.000008504486,0.00001465819,0.0001372675,0.000007233589,0.006840325],"genre_scores_gemma":[0.9994676,0.00004522571,0.00002801326,0.00002448301,0.000003093317,0.000001194349,0.00003743659,0.000001239702,0.0003919026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2213757,"threshold_uncertainty_score":0.4401742,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2460841759","doi":"","title":"Institutional Factors and Investors Sentiments for Dividends","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Dividend; Corporate governance; Dividend policy; Principal–agent problem; Argument (complex analysis); Business; Agency (philosophy); Capital (architecture); Control (management); Capital market; Institutional investor; Agency cost; Monetary economics; Economics; Financial economics; Finance; Shareholder","authors":[{"name":"Maria Elisabete Neves","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01722723050674303,"gpt":0.2045235420649637,"spread":0.1872963115582207,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008858222,0.0001116779,0.0001934654,0.0004328345,0.0002593812,0.001438388,0.0001097052,0.0003681909,0.003420038],"category_scores_gemma":[0.005299242,0.00006620785,0.0002180453,0.0004311508,0.0004844823,0.0004531488,0.00041817,0.0004132387,0.0002218972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006000607,"about_ca_system_score_gemma":0.0002261802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003172181,"about_ca_topic_score_gemma":0.00432523,"domain_scores_codex":[0.9997074,0.00007878961,0.00002473184,0.00003790869,0.00007532151,0.00007577534],"domain_scores_gemma":[0.9921777,0.00188738,0.004606938,0.0002384354,0.0002919942,0.0007976724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001136094,0.00009188269,0.9882586,0.00001781253,0.00009612222,0.0001854415,0.0003749878,0.000779589,0.001143842,0.002087444,0.0002396233,0.00661112],"study_design_scores_gemma":[0.000006075839,0.00004424301,0.9969235,0.000008705172,0.00002778714,0.00005043578,0.0005551443,0.0007557042,0.0002995798,0.0008382964,0.0004840925,0.00000645405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971045,0.00007264195,0.0001339776,0.0001279397,0.0000033413,0.000004296099,0.00003067303,0.000002800881,0.002519906],"genre_scores_gemma":[0.9996407,0.00003477765,0.00002788728,0.00001369562,0.000005838728,7.647913e-7,0.00002646773,6.262986e-7,0.0002493149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003420038,"threshold_uncertainty_score":0.01144111,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2399745787","doi":"","title":"Do Crude Petroleum Imports Affect GDP of Turkey","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Market Dynamics and Volatility","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Variance decomposition of forecast errors; Granger causality; Vector autoregression; Economics; Petroleum; Crude oil; Econometrics; Quarter (Canadian coin); Cointegration; Chemistry; Engineering; Geography; Petroleum engineering","authors":[{"name":"Meliha Ener","is_ca":false},{"name":"K Cüneyt","is_ca":false},{"name":"Feyza Balan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02346251586996639,"gpt":0.2255559844278842,"spread":0.2020934685579178,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015115,0.0002210993,0.0001759485,0.001031992,0.0001460541,0.0009016662,0.0001493615,0.0002219507,0.00206149],"category_scores_gemma":[0.001156924,0.0001238945,0.0003104421,0.001222249,0.0002409094,0.0005505917,0.0004136748,0.0003216113,0.0005317276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009316053,"about_ca_system_score_gemma":0.0004502454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02441327,"about_ca_topic_score_gemma":0.014943,"domain_scores_codex":[0.9998716,0.00001475906,0.00001429738,0.00003257811,0.00003022503,0.00003647623],"domain_scores_gemma":[0.9994453,0.00006843499,0.0002873031,0.000024947,0.0001366841,0.00003741755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002410753,0.00003347515,0.9687873,0.0000895968,0.0001354139,0.0007527834,0.0003954063,0.005450714,0.0008168371,0.002364899,0.002723242,0.01820921],"study_design_scores_gemma":[0.000006807563,0.00003584654,0.9913893,0.00002734113,0.00003985409,0.0001750831,0.0008201871,0.002977813,0.0003882428,0.000425617,0.00370018,0.0000136804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941497,0.0004500771,0.00007872264,0.0003337495,0.00001889001,0.000001909288,0.00140006,0.00001627309,0.003550706],"genre_scores_gemma":[0.9982365,0.0002877445,0.00003350248,0.00001626266,0.000006869528,0.000001007301,0.001040056,0.000004292843,0.0003736697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02441327,"threshold_uncertainty_score":0.04854238,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2790664660","doi":"","title":"An Algorithm Exploiting Episodes of Inefficient Asset Pricing to Derive a Macro-Foundation Scaled Metric for Systemic Risk: A Time-Series Martingale Representation","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Systemic risk; Economics; Financial crisis; Econometrics; Capital asset pricing model; Finance; Computer science; Financial economics","authors":[{"name":"Richard W. Booser","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01643636911132808,"gpt":0.2456036013000596,"spread":0.2291672321887315,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002065454,0.0009171719,0.001003871,0.001462317,0.000446139,0.001630189,0.001099231,0.001160034,0.003154418],"category_scores_gemma":[0.007384058,0.0003802307,0.0008216305,0.001092997,0.0006091656,0.001187218,0.001546076,0.001579838,0.000678872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096916,"about_ca_system_score_gemma":0.002082516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003229427,"about_ca_topic_score_gemma":0.002338394,"domain_scores_codex":[0.9994855,0.0001533258,0.00004797358,0.0001442967,0.0001120597,0.00005669497],"domain_scores_gemma":[0.9977245,0.00148756,0.0002176219,0.0001396571,0.0003542249,0.00007647774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008869599,0.00009817995,0.003713163,0.0001122202,0.00009987281,0.0001416159,0.0001584758,0.6759797,0.00265564,0.05157169,0.004427442,0.2609534],"study_design_scores_gemma":[0.00000971476,0.0000165862,0.0001574845,0.000006332418,0.000005565597,0.00002954983,0.000008182607,0.9884622,0.0003121133,0.0105523,0.0004335817,0.000006428889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006682997,0.00005119094,0.9920416,0.0001276128,0.00001856001,0.00005161596,0.0000560552,0.0003143922,0.0006559602],"genre_scores_gemma":[0.1945529,0.0001497181,0.8023165,0.0001219317,0.00007755002,0.0003784612,0.0004516556,0.0001591725,0.001792141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003229427,"threshold_uncertainty_score":0.01092327,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2186253313","doi":"","title":"An Empirical Analysis of the Bond Market Behavior and Cointegration in the Selected APEC's Countries","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Treasury; Cointegration; Granger causality; Bond; Economics; Monetary economics; Bond market; Error correction model; Financial economics; Econometrics; Finance; Geography","authors":[{"name":"Chu V. Nguyen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03267202319029898,"gpt":0.2506605224293775,"spread":0.2179884992390785,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008131526,0.0002104578,0.0002766354,0.001766089,0.0003963282,0.001006287,0.0002165453,0.000298396,0.001591397],"category_scores_gemma":[0.00564716,0.0001492237,0.0002446827,0.004103254,0.0002650996,0.0006996838,0.0004039386,0.0006089932,0.0003018648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003765831,"about_ca_system_score_gemma":0.0003209154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036684,"about_ca_topic_score_gemma":0.007040429,"domain_scores_codex":[0.9996644,0.000114039,0.00003590601,0.00006279978,0.00007281949,0.00005006839],"domain_scores_gemma":[0.995061,0.001711904,0.001567034,0.0003283975,0.001103027,0.0002287065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001060331,0.00007121432,0.9747425,0.00003807685,0.0001105764,0.0004877543,0.0004154922,0.003741025,0.0005968274,0.001296482,0.0006845028,0.01770944],"study_design_scores_gemma":[0.000005909032,0.00005998838,0.9919527,0.00001138144,0.00001878983,0.0002628344,0.0006630516,0.004892665,0.0003580832,0.0002544324,0.001512529,0.000007584135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977703,0.0001061358,0.0002784096,0.00003042159,0.000002061088,0.00000735371,0.0005734826,0.000007005366,0.001224839],"genre_scores_gemma":[0.9975404,0.0001795088,0.0002869138,0.000006352351,0.000004338446,0.00001044781,0.001546024,0.000003637777,0.0004224697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01036684,"threshold_uncertainty_score":0.02061296,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2435843123","doi":"","title":"Icelandâ€™s Currency Options","year":2014,"lang":"en","type":"article","venue":"Journal of Applied Finance and Banking","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Interest rate; Convergence (economics); Cointegration; International Fisher effect; Currency union; Fisher hypothesis; Currency; Nominal interest rate; Monetary economics; Monetary policy; International economics; Real interest rate; European union; European monetary union; Macroeconomics; Econometrics","authors":[{"name":"Mustapha Ibn Boamah","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01572759626568773,"gpt":0.2147965363176073,"spread":0.1990689400519196,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007872866,0.000351984,0.0003297724,0.0007282246,0.0004302125,0.003148913,0.000595962,0.0005266754,0.0288963],"category_scores_gemma":[0.003082074,0.0001362535,0.000312589,0.001591534,0.000461056,0.002384431,0.0007533747,0.0007737317,0.004595375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004802913,"about_ca_system_score_gemma":0.0003545577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007972954,"about_ca_topic_score_gemma":0.0007718965,"domain_scores_codex":[0.9996108,0.00009777051,0.00003416745,0.0000697524,0.0001497154,0.00003782796],"domain_scores_gemma":[0.9994547,0.0001425216,0.0001116822,0.00009832352,0.0001327787,0.00006013974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001686553,0.00004097604,0.003389819,0.0001020673,0.00003633467,0.0002880281,0.0002135226,0.006558125,0.0006587391,0.8352214,0.01056776,0.1427546],"study_design_scores_gemma":[0.00009150737,0.000166306,0.005813285,0.0001877915,0.00004080226,0.0009456275,0.0005338553,0.02306687,0.001740443,0.5549749,0.4123745,0.00006415002],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1532415,0.006269465,0.08545847,0.003080095,0.0007982198,0.000167093,0.002762665,0.0004180138,0.7478044],"genre_scores_gemma":[0.8431511,0.002903677,0.02509546,0.00029434,0.0001769245,0.0001330584,0.001625921,0.00005779515,0.1265618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0288963,"threshold_uncertainty_score":0.09666777,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}