{"id":"W7036471845","doi":"","title":"CHA ANNUAL ELECTIONS, 1985","year":2020,"lang":"en","type":"article","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Pleasure; Government (linguistics); Work (physics); Control (management)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001311346,0.0002073247,0.0003245544,0.00008982608,0.0004209659,0.00007487468,0.001436869,0.00009047719,0.0000156465],"category_scores_gemma":[0.00008192901,0.0002264628,0.00006311693,0.0003154235,0.0001924855,0.002250585,0.001312083,0.0001854312,0.0000108068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008168342,"about_ca_system_score_gemma":0.00008648283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510549,"about_ca_topic_score_gemma":0.0002375738,"domain_scores_codex":[0.9982563,0.00008664617,0.0002730627,0.0008011013,0.0003115615,0.0002713121],"domain_scores_gemma":[0.9981694,0.00009683763,0.0002892926,0.001020851,0.0001590321,0.0002645408],"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":[0.0007764504,0.000740245,0.01263655,0.0003777226,0.0009124994,0.003348523,0.00193409,0.00003446852,0.01450462,0.0166991,0.5609745,0.3870612],"study_design_scores_gemma":[0.00163522,0.0006245618,0.00520104,0.00008470668,0.0001512171,0.0001891772,0.0004917516,0.002365564,0.01041269,0.0008320076,0.9773542,0.0006578324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02979825,0.006329454,0.9339749,0.00906398,0.0006545904,0.001181714,0.000951838,0.001334311,0.01671094],"genre_scores_gemma":[0.9489148,0.007862293,0.03674236,0.0007916658,0.0003094869,0.000001801956,0.0002107896,0.00003386841,0.005132942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9191166,"threshold_uncertainty_score":0.9234884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476839799032868,"score_gpt":0.2354668028242464,"score_spread":0.2206984048339177,"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."}}