{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004449306,0.00008756287,0.0001383348,0.00002631414,0.001081649,0.00006257772,0.00005787214,0.00008804963,0.0001900211],"category_scores_gemma":[0.0005774246,0.0000751997,0.00001110089,0.0002872204,0.000153847,0.0001980683,0.00002441208,0.0002105851,6.543646e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007932285,"about_ca_system_score_gemma":0.0003043057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07061518,"about_ca_topic_score_gemma":0.1333991,"domain_scores_codex":[0.999074,0.0002006277,0.0001994455,0.0001727452,0.0002110451,0.0001421281],"domain_scores_gemma":[0.9993999,0.0001785715,0.0001630025,0.00009092941,0.00001920584,0.0001483715],"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":[0.00002896832,0.00006425612,0.01837452,0.0000135831,0.0000522752,0.000008674328,0.0003704013,0.000004262057,0.000003056892,0.8581337,0.01968208,0.1032642],"study_design_scores_gemma":[0.0007647845,0.00003186805,0.05236687,0.0002272321,0.00007186658,7.495255e-7,0.00009995063,2.355658e-7,2.073329e-7,0.0001630093,0.9461828,0.00009035498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6484502,0.1728467,0.000006087306,0.1356177,0.0005875033,0.001743341,0.0002024604,0.00005351367,0.04049252],"genre_scores_gemma":[0.9208424,0.06664488,0.000114477,0.003662171,0.0007080126,0.00002605271,0.0001238102,0.000009369764,0.00786884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9265008,"threshold_uncertainty_score":0.9355737,"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."}}