{"id":"W1749117870","doi":"10.1177/001979390906200203","title":"Institutional Environments, Work and Human Resource Practices, and Unions: Canada versus England","year":2009,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Representation (politics); Work (physics); Telephone survey; Propensity score matching; Adversarial system; Political science; Demographic economics; Human resources; Human resource management; Public administration; Public relations; Business; Medicine; Law; Economics; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002008244,0.0002264929,0.0007636073,0.002368062,0.002507669,0.002021017,0.0008979731,0.0003631418,0.002003568],"category_scores_gemma":[0.005066369,0.0002621533,0.000339567,0.01037913,0.0009493229,0.000612156,0.001407062,0.0004187196,0.00014729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02698622,"about_ca_system_score_gemma":0.03814141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950971,"about_ca_topic_score_gemma":0.9978816,"domain_scores_codex":[0.9979914,0.0002662003,0.0001313728,0.0002086954,0.0006651666,0.0007372259],"domain_scores_gemma":[0.9962212,0.0006248564,0.0009133951,0.0000857315,0.00169607,0.0004586584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003939978,0.00005140269,0.9184694,0.0008257529,0.0001484345,0.0005229458,0.02138542,0.000346943,0.0002927442,0.002631797,0.004948516,0.04998263],"study_design_scores_gemma":[0.00001371405,0.00001941057,0.9778702,0.0003543323,0.00007450546,0.0000756519,0.01287256,0.00008499594,0.00006054669,0.0000662307,0.008492289,0.00001544393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.962162,0.02056694,0.0002116095,0.001328341,0.00002923637,0.0000524497,0.002765361,0.000007102039,0.01287704],"genre_scores_gemma":[0.9883308,0.007547038,0.0001920006,0.0002735341,0.00001029045,0.00003058498,0.001149831,0.000005379025,0.002460464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02698622,"threshold_uncertainty_score":0.1957996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05649186328905291,"score_gpt":0.3102704332761355,"score_spread":0.2537785699870825,"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."}}