{"id":"W1981641684","doi":"10.7202/050202ar","title":"Econometric Analysis of Union Membership Growth in Canada, 1935-1981","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislature; Econometric model; Composition (language); Aggregate (composite); Econometrics; Economics; Key (lock); Business cycle; Macroeconomics; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004507442,0.00005860511,0.0001472744,0.0008010996,0.0001940781,0.00001394858,0.0001426144,0.0001002669,0.001730773],"category_scores_gemma":[0.0001927573,0.00005407728,0.00004590324,0.004139758,0.00005399374,0.0001615025,0.00001874161,0.0001464062,0.000002993647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007205348,"about_ca_system_score_gemma":0.001107893,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.95104,"about_ca_topic_score_gemma":0.9935998,"domain_scores_codex":[0.9990693,0.0001259366,0.0002758668,0.0001198141,0.0002112313,0.0001977945],"domain_scores_gemma":[0.9994552,0.0002058933,0.00008140322,0.0001108058,0.00007282059,0.00007386519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001577162,0.00007483396,0.6184914,2.776163e-7,0.0002273111,8.47765e-7,0.003174504,0.01936604,0.000003610043,0.3462608,0.002025625,0.01037321],"study_design_scores_gemma":[0.0003125593,0.000009904618,0.7591518,0.000009970791,0.0002869412,4.706683e-8,0.01017966,0.00155345,0.0002445356,0.0004821743,0.2275714,0.0001974837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9221061,0.0001219273,0.00003272652,0.005324326,0.00006576363,0.0001023972,0.00003730809,0.000009353615,0.07220006],"genre_scores_gemma":[0.9973267,0.00008645684,0.00005715229,0.0000823886,0.00004483579,0.00000397005,0.00003194643,0.000003678388,0.0023629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3457786,"threshold_uncertainty_score":0.9991818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02498228581873676,"score_gpt":0.2564283050908202,"score_spread":0.2314460192720834,"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."}}