{"id":"W2766198724","doi":"10.1177/0019793919864263","title":"Third-Party Intervention and the Preservation of Bargaining Relationships","year":2019,"lang":"en","type":"article","venue":"Industrial and Labor Relations Review","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Conciliation; Mediation; Dispute resolution; Intervention (counseling); Collective bargaining; Third party; Labor disputes; Process (computing); Political science; Panel data; Arbitration; Longitudinal data; Psychology; Economics; Business; Law and economics; Social psychology; Law; Econometrics; Computer science; Labor relations; Data mining; Internet privacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01772131,0.0001418706,0.0004836296,0.001373211,0.001178033,0.002343471,0.000913834,0.001074653,0.006886363],"category_scores_gemma":[0.0809276,0.0002328502,0.00043213,0.001917062,0.001506171,0.001513418,0.001612182,0.001894034,0.0007939099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503251,"about_ca_system_score_gemma":0.001902942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003582988,"about_ca_topic_score_gemma":0.004106125,"domain_scores_codex":[0.9894042,0.006017412,0.0006512044,0.0007120371,0.002173293,0.001041883],"domain_scores_gemma":[0.8171865,0.09998863,0.06469741,0.01036621,0.004986774,0.002774404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001515024,0.001276268,0.7764506,0.0002213847,0.0003424828,0.0003190668,0.002957983,0.009490335,0.002093806,0.04815432,0.001517553,0.1556612],"study_design_scores_gemma":[0.0002061832,0.00141094,0.9162474,0.0001965197,0.0001912441,0.0006702503,0.002117984,0.009606059,0.003188678,0.04878386,0.01730226,0.00007857321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755922,0.002609586,0.007726818,0.0009667084,0.00002654199,0.00006432232,0.0002678758,0.00003636781,0.01270969],"genre_scores_gemma":[0.9972669,0.0004202896,0.0009125928,0.00006762603,0.00001884069,0.00002084082,0.0001596721,0.00000509513,0.001128371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01772131,"threshold_uncertainty_score":0.09372038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09239179501902059,"score_gpt":0.2512468739728758,"score_spread":0.1588550789538552,"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."}}