{"id":"W2791145236","doi":"","title":"Canada Labour Code: quick reference","year":2017,"lang":"en","type":"article","venue":"Books | Encyclopedia of Canadian Laws","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Code (set theory); Computer science; Programming language; Business; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009647696,0.001595399,0.001379675,0.01177728,0.008319692,0.006989047,0.002497762,0.002807698,0.4864464],"category_scores_gemma":[0.007685153,0.001205975,0.0008985166,0.02367447,0.001698453,0.002378094,0.001621844,0.003073073,0.2678612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05621506,"about_ca_system_score_gemma":0.1379897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9692605,"about_ca_topic_score_gemma":0.9857861,"domain_scores_codex":[0.9973527,0.00006835062,0.00007196606,0.0001165616,0.001878952,0.0005114225],"domain_scores_gemma":[0.9930066,0.0004173311,0.0001257854,0.0002530824,0.005609898,0.0005871521],"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":[0.000002228479,0.000003694358,0.00004087568,0.00004057983,4.956274e-7,0.000006302638,0.00002419765,0.00001962995,0.00001110941,0.001454114,0.989328,0.009068805],"study_design_scores_gemma":[0.000001630068,0.000001311337,0.0005948337,0.00006992326,8.997876e-7,0.000006418725,0.00008446993,0.00001951931,0.00002403044,0.0004102855,0.9987774,0.000009248599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006562903,0.005513377,0.0008644505,0.01158478,0.005025675,0.0004841439,0.1057605,0.002133138,0.8679776],"genre_scores_gemma":[0.001260898,0.002706264,0.0008150841,0.001299523,0.0002160013,0.0001151758,0.01108793,0.0005376511,0.9819615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4864464,"threshold_uncertainty_score":0.732522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575267335810097,"score_gpt":0.2697551655442497,"score_spread":0.2440024921861488,"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."}}