{"id":"W7025034564","doi":"","title":"Timeline of Labour Organizing at UofT","year":2022,"lang":"en","type":"report","venue":"TSpace","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Timeline; Key (lock); Work (physics); Process (computing)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008354353,0.0006852696,0.0003318438,0.005390869,0.003484775,0.003233788,0.0005833082,0.0008030771,0.1112],"category_scores_gemma":[0.003066146,0.0004588283,0.0002197959,0.00800494,0.0005905829,0.0009223902,0.001616543,0.001177892,0.0284544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009300698,"about_ca_system_score_gemma":0.01777033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6261531,"about_ca_topic_score_gemma":0.7944898,"domain_scores_codex":[0.9981949,0.0001390171,0.00009303363,0.0001555176,0.0008573165,0.0005602441],"domain_scores_gemma":[0.9948654,0.0003220871,0.0004125364,0.0001967503,0.002775557,0.001427822],"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":[0.00007588985,0.00001294276,0.002858117,0.0001425864,0.000003002916,0.0000623385,0.001085757,0.0001638421,0.0001989579,0.002518827,0.9757574,0.01712035],"study_design_scores_gemma":[0.000007329123,0.00001292234,0.04545633,0.0001017237,0.000001928485,0.00002097332,0.001416161,0.00005726807,0.000184987,0.0001135834,0.9526151,0.0000115627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.03155487,0.005075301,0.002107206,0.01094223,0.005365946,0.001019135,0.5157512,0.001924712,0.4262593],"genre_scores_gemma":[0.1052887,0.003871137,0.00368604,0.0009110868,0.0007303818,0.0007887852,0.1299126,0.001167227,0.753644],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3738469,"threshold_uncertainty_score":0.7520971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1525209452158219,"score_gpt":0.3058335380921508,"score_spread":0.1533125928763289,"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."}}