{"id":"W6980818453","doi":"","title":"Corporate governance in the United States, Canada and France","year":2000,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Textile materials and evaluations","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Subject (documents); Government (linguistics); Multi-level governance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001078165,0.0002080342,0.0002488737,0.002687688,0.006305592,0.006119335,0.0004547956,0.001105997,0.003564049],"category_scores_gemma":[0.00313073,0.0001748385,0.0002239993,0.006247346,0.002869355,0.001116492,0.00125799,0.001065774,0.0001972913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09457516,"about_ca_system_score_gemma":0.08786719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921674,"about_ca_topic_score_gemma":0.9943846,"domain_scores_codex":[0.9978872,0.0002813061,0.00003889867,0.000156287,0.0006980796,0.0009382348],"domain_scores_gemma":[0.9983847,0.0002145984,0.0001511998,0.000030914,0.0007035289,0.0005151273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001150383,0.0001728456,0.07306197,0.000178222,0.00006614918,0.0008688088,0.02819992,0.003432779,0.0003757919,0.6411093,0.1004026,0.1520166],"study_design_scores_gemma":[0.00003222209,0.00004287276,0.3340788,0.0005022456,0.00003231123,0.0001585008,0.0277457,0.001045936,0.000227221,0.009994441,0.6260688,0.00007105073],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3880812,0.05071602,0.0003734647,0.03894068,0.0003354661,0.00007171241,0.001144114,0.00006175703,0.5202756],"genre_scores_gemma":[0.9143717,0.01480901,0.0004609513,0.002143685,0.00005988936,0.000037947,0.0005261371,0.00001557335,0.06757512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09457516,"threshold_uncertainty_score":0.6861941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824482185936002,"score_gpt":0.2295125145960039,"score_spread":0.2112676927366439,"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."}}