{"id":"W4386728849","doi":"10.1177/0920203x231199436","title":"Shaping corporate social responsibility standards in the global economy: Chinese industry guidelines for responsible mineral supply chains","year":2023,"lang":"en","type":"article","venue":"China Information","topic":"Mining and Resource Management","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Corporate social responsibility; Corporate governance; Social responsibility; Supply chain; China; Business; Accounting; Industrial organization; Public relations; Marketing; Political science; Finance; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289376,0.0001398302,0.0001457236,0.0001774866,0.0001594763,0.0001251772,0.0001822676,0.0001389145,0.00001099874],"category_scores_gemma":[0.0004969196,0.0001040978,0.00005931066,0.0006262357,0.00002602884,0.0003800843,0.0000453008,0.0001878649,0.00001539355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002374551,"about_ca_system_score_gemma":0.00008655395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001874191,"about_ca_topic_score_gemma":0.00003753699,"domain_scores_codex":[0.9989907,0.00004595635,0.000452378,0.00008692368,0.0001784743,0.000245557],"domain_scores_gemma":[0.9995467,0.00004910616,0.00009520128,0.0001675876,0.0001129212,0.00002849117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008272491,0.00003986717,0.03551512,0.001148387,0.0001105872,0.00001046208,0.04623586,0.524955,0.00006402162,0.02436741,0.3159468,0.05077913],"study_design_scores_gemma":[0.001051455,0.00005188513,0.3076886,0.0000520426,0.00001008123,0.000003464207,0.003171747,0.5964817,0.00001640999,0.003285307,0.08793457,0.0002527485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829452,0.00001822046,0.001668126,0.003029495,0.0002312935,0.0004536771,0.0002355682,0.0002676356,0.0111508],"genre_scores_gemma":[0.9986358,0.000005578245,0.0002874377,0.0003691342,0.0002123232,0.00009592797,0.0002354733,0.000009287598,0.0001490428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2721735,"threshold_uncertainty_score":0.4244984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0621759021361747,"score_gpt":0.323078376063162,"score_spread":0.2609024739269873,"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."}}