{"id":"W1984276272","doi":"10.7202/050078ar","title":"Interest Arbitration in Ontario Hospitals: Result of an Attitude Survey of Union and Management Officials","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Legal principles and applications","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arbitration; Political science; Public administration; Business; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00397603,0.000146233,0.0001993176,0.0007197624,0.002650287,0.001656307,0.0003124749,0.0005247697,0.001848452],"category_scores_gemma":[0.01384361,0.00025861,0.0002210717,0.001334455,0.001803263,0.0005188606,0.00104269,0.0009158952,0.0002243819],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01165364,"about_ca_system_score_gemma":0.0119057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6183735,"about_ca_topic_score_gemma":0.7488965,"domain_scores_codex":[0.9947835,0.001475904,0.0002785812,0.0001754729,0.001905511,0.001381113],"domain_scores_gemma":[0.9842875,0.003200045,0.005931505,0.0002791985,0.003675697,0.002626134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001680396,0.0002255663,0.8819003,0.00005835005,0.00001891246,0.0002432811,0.1033468,0.00004892399,0.0008913899,0.0002450239,0.001647049,0.01120639],"study_design_scores_gemma":[0.00001354956,0.000149427,0.9131624,0.00002587349,0.000008315098,0.00005191849,0.08264013,0.000095495,0.0001315297,0.00002805594,0.00367826,0.00001508121],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969876,0.00006223306,0.00003680087,0.0006390536,0.00000595678,0.00002395706,0.00003406947,0.000001129003,0.002209196],"genre_scores_gemma":[0.9984453,0.0001173691,0.00004683386,0.0002449897,0.000007209841,0.00001599209,0.00003069952,0.000001710302,0.001089915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9883463,"threshold_uncertainty_score":0.767748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0755882254909491,"score_gpt":0.3266157564228737,"score_spread":0.2510275309319245,"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."}}