{"id":"W2747496064","doi":"10.7202/1040401ar","title":"The Predictors of Unmet Demand for Unions in Non-Union Workplaces: Lessons from Australia","year":2017,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Leverage (statistics); Representation (politics); Demographic economics; Union density; Business; Labour economics; Public relations; Political science; Marketing; Economics; Collective bargaining; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002627813,0.000225085,0.0004195919,0.0006996281,0.0008792191,0.001002714,0.0007492398,0.0004713336,0.002272508],"category_scores_gemma":[0.007737035,0.000231122,0.0003797978,0.00118573,0.0006120551,0.0009179732,0.001970301,0.001089195,0.0002590239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009432166,"about_ca_system_score_gemma":0.001402138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.116088,"about_ca_topic_score_gemma":0.1851048,"domain_scores_codex":[0.9984583,0.0005781909,0.0001231697,0.0001870524,0.0003507296,0.0003025166],"domain_scores_gemma":[0.9942443,0.001458294,0.001806493,0.0002583388,0.0009300261,0.001302465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002481356,0.00007926714,0.9849023,0.00004020209,0.00002974341,0.00008423736,0.006869302,0.0001594366,0.0001203932,0.0002049448,0.0002906392,0.007194773],"study_design_scores_gemma":[0.000001644838,0.00003883887,0.991812,0.00003544859,0.00001010363,0.00003678025,0.006781318,0.0004357121,0.00002830089,0.0001070698,0.0007070916,0.000005818326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984597,0.000167703,0.0001215804,0.0004222751,0.000005801376,0.000005331904,0.00005967996,9.578758e-7,0.0007568594],"genre_scores_gemma":[0.999186,0.0001250226,0.0001060344,0.00005499095,0.000005401295,0.000006370668,0.00007824067,0.000001972696,0.0004360229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.116088,"threshold_uncertainty_score":0.2308246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271187128519357,"score_gpt":0.3476065890038054,"score_spread":0.2948947177186118,"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."}}