{"id":"W3032927031","doi":"10.1177/0169796x20924577","title":"Dialogue and Coordination: How Hybrid Models Can Strengthen Labor Standards Enforcement","year":2020,"lang":"en","type":"article","venue":"Journal of Developing Societies","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada; York University","funders":"","keywords":"Enforcement; Business; Transparency (behavior); Accountability; State (computer science); Government (linguistics); Quality (philosophy); Private sector; Public relations; Public economics; Public administration; Economics; Economic growth; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005297971,0.0001564725,0.0002979688,0.00006017088,0.0002550676,0.0005051933,0.0001708595,0.00005077876,0.00001229277],"category_scores_gemma":[0.0004899178,0.0001355723,0.0001087201,0.0002327998,0.0001037036,0.001068563,0.00009289984,0.0001776159,4.340287e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002321829,"about_ca_system_score_gemma":0.0003383326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006596422,"about_ca_topic_score_gemma":0.000009820472,"domain_scores_codex":[0.9987808,0.00001961192,0.0003035498,0.0001192989,0.0005398711,0.0002368757],"domain_scores_gemma":[0.9984724,0.00003820462,0.0003578681,0.00005269654,0.001039933,0.00003893459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005007831,0.0002389502,0.07308803,0.005356095,0.00163281,0.0002078289,0.09753659,0.004253731,0.000105964,0.3924726,0.3999955,0.02461108],"study_design_scores_gemma":[0.006266296,0.0004101611,0.02035746,0.0006750494,0.0006663391,0.00002768375,0.316038,0.008085072,0.000277781,0.2670141,0.3782361,0.001946014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8807175,0.000724957,0.003757678,0.1120324,0.0004779204,0.000215803,0.00004784609,0.00005707614,0.001968859],"genre_scores_gemma":[0.9942521,0.0001708334,0.0004163134,0.003978969,0.001089424,0.000001373179,0.000006695055,0.00001408843,0.00007015043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2185014,"threshold_uncertainty_score":0.5528477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03392908876374436,"score_gpt":0.2553486986929395,"score_spread":0.2214196099291952,"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."}}