{"id":"W41766636","doi":"10.7202/029358ar","title":"Perfecting the Administrative Solution to Labour Disputes. British Columbia Experiment","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Section (typography); Labor disputes; Code (set theory); Political science; Labour law; Law; Labour economics; Public administration; Economics; Business; Labor relations; Computer science; Advertising","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004780914,0.0002605223,0.0004183627,0.0005762505,0.01435213,0.004432597,0.00138536,0.002453635,0.01544755],"category_scores_gemma":[0.01503665,0.000387507,0.0001372407,0.001775858,0.005945957,0.001381711,0.002310792,0.003572846,0.001207629],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03366308,"about_ca_system_score_gemma":0.04514519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9574635,"about_ca_topic_score_gemma":0.9900151,"domain_scores_codex":[0.9959242,0.001396785,0.0000939381,0.0004051779,0.00096243,0.00121753],"domain_scores_gemma":[0.9903303,0.004559456,0.0004955546,0.001134163,0.001797549,0.001682922],"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":[0.005745105,0.003880749,0.1258442,0.0004831328,0.0001839386,0.001978238,0.1029287,0.005749456,0.009031618,0.3111334,0.227128,0.2059135],"study_design_scores_gemma":[0.002633358,0.001234681,0.4058132,0.0004058907,0.0002469443,0.0003088107,0.1608721,0.006123203,0.004837265,0.04599958,0.3711253,0.0003996161],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7858964,0.0003455151,0.0005472699,0.009043484,0.00005634928,0.0001856899,0.0007332345,0.00004251723,0.2031496],"genre_scores_gemma":[0.9605933,0.0001535773,0.0004339801,0.001351415,0.000008835202,0.0001172547,0.0001649224,0.0000144284,0.03716224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9663369,"threshold_uncertainty_score":0.2442439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03465932667787174,"score_gpt":0.3104911775711373,"score_spread":0.2758318508932655,"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."}}