{"id":"W4232287721","doi":"10.15353/whr.v7.37","title":"About the Authors","year":2015,"lang":"en","type":"article","venue":"Waterloo Historical Review","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Null (SQL); Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003086558,0.0009138867,0.001578378,0.00249695,0.002193792,0.00862441,0.002732884,0.004692591,0.4620222],"category_scores_gemma":[0.03849476,0.0004599136,0.000751865,0.00193459,0.001766141,0.003836012,0.002545261,0.005080729,0.4070753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00274775,"about_ca_system_score_gemma":0.006588882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005620705,"about_ca_topic_score_gemma":0.005557531,"domain_scores_codex":[0.9956872,0.0006869375,0.0002062724,0.001001894,0.002023723,0.000393911],"domain_scores_gemma":[0.9824088,0.002314776,0.0007644314,0.002214486,0.01006559,0.002232017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002221798,0.00000933176,0.000171608,0.0000665726,0.000007071585,0.00006605333,0.00005564281,0.00002414726,0.00005864431,0.006728846,0.9639602,0.02882978],"study_design_scores_gemma":[0.000009123572,0.000004718383,0.0001262586,0.0001442406,0.000008005401,0.0001084156,0.00007634427,0.00006921695,0.0001306852,0.002477207,0.9968364,0.000009404742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009309175,0.01232377,0.004096205,0.2008883,0.2388702,0.0001840463,0.01227878,0.00245776,0.52797],"genre_scores_gemma":[0.01123755,0.005501793,0.001854913,0.05108983,0.02299705,0.0002364657,0.004843199,0.001969687,0.9002695],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4620222,"threshold_uncertainty_score":0.76736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.139988457989435,"score_gpt":0.2482652933662818,"score_spread":0.1082768353768469,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}