{"id":"W3097335089","doi":"10.1177/1035304620962724","title":"Enforcing workers’ compensation rights for Chinese seafarers in human resource supply chains","year":2020,"lang":"en","type":"article","venue":"The Economic and Labour Relations Review","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Business; Enforcement; Supply chain; Liability; Intermediary; Multinational corporation; Compensation of employees; Human rights; Compensation (psychology); Human resources; Resource (disambiguation); Finance; Marketing; Law; Economics; Management","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001294778,0.0001079601,0.0002948857,0.00005190542,0.001234384,0.000008949134,0.0001348498,0.00007726803,0.001248365],"category_scores_gemma":[0.0001889808,0.00007452567,0.0000545645,0.0001712657,0.00004604886,0.0001115288,0.00005018097,0.0004185415,0.0003077773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023032,"about_ca_system_score_gemma":0.0002433928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003143553,"about_ca_topic_score_gemma":0.0004599574,"domain_scores_codex":[0.9984341,0.0003921912,0.0006161797,0.000201939,0.0000686836,0.0002869637],"domain_scores_gemma":[0.9982806,0.001171327,0.0001834232,0.0001735486,0.00004186837,0.0001492457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002081366,0.00002435814,0.5460038,0.005993057,0.00004932175,0.000001082385,0.006612858,0.001400994,0.000005532788,0.4020206,0.02786879,0.009811506],"study_design_scores_gemma":[0.001525571,0.0000799821,0.5744001,0.001725446,0.00002798872,0.000001224533,0.0006383353,0.01122471,1.790932e-7,0.003138661,0.4070383,0.0001994376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8261344,0.01862447,0.0006074957,0.1158393,0.0001962552,0.008809875,0.000217772,0.0000815145,0.02948892],"genre_scores_gemma":[0.9895778,0.00202795,0.0001547907,0.004495972,0.0002943772,0.0004681706,0.0002073772,0.00001581975,0.002757689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3988819,"threshold_uncertainty_score":0.9996646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06583054887905136,"score_gpt":0.4179485486997862,"score_spread":0.3521179998207348,"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."}}