{"id":"W2790861977","doi":"","title":"Creative solutions: perspectives on Canadian employment law","year":2017,"lang":"en","type":"article","venue":"Books | Encyclopedia of Canadian Laws","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Law; Political science; Law and economics; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.005170993,0.001191826,0.000885596,0.006831589,0.04346967,0.03330072,0.004985831,0.01859222,0.03308218],"category_scores_gemma":[0.01267777,0.0007532509,0.0009114696,0.01283835,0.03149466,0.009792944,0.005603645,0.01308868,0.001569991],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2393447,"about_ca_system_score_gemma":0.3308926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9897829,"about_ca_topic_score_gemma":0.9933261,"domain_scores_codex":[0.9921041,0.0007994256,0.0001843894,0.0005417367,0.003303895,0.003066482],"domain_scores_gemma":[0.9945608,0.00168936,0.0001781593,0.0001718419,0.002275561,0.001124246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004091653,0.00001120056,0.00006393133,0.00003726827,0.000001703673,0.00003710372,0.002437873,0.00009536866,0.00001911902,0.8976796,0.09360965,0.006002967],"study_design_scores_gemma":[0.00001534192,0.000005026433,0.0008448232,0.0004053228,0.000008173066,0.00003770059,0.007935153,0.0003118282,0.00004920658,0.1149733,0.8753604,0.00005362699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003623956,0.02302017,0.0009444247,0.2257728,0.002365932,0.0000523025,0.0002307554,0.0000551274,0.7439345],"genre_scores_gemma":[0.2911567,0.04734638,0.003367407,0.1071043,0.002638404,0.0002235155,0.0003101522,0.000222845,0.5476303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2393447,"threshold_uncertainty_score":0.8822523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708893445392819,"score_gpt":0.2628339830754319,"score_spread":0.2357450486215037,"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."}}