{"id":"W4415011605","doi":"10.3917/ridc.773.0213","title":"Écoblanchiment et droit canadien de la concurrence : haro pour la RSE","year":2025,"lang":"fr","type":"article","venue":"Revue internationale de droit comparé","topic":"Taxation and Legal Issues","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Government (linguistics); Identification (biology); Subject (documents)","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":[0.01474499,0.0004626334,0.0008321509,0.00198866,0.01132175,0.01742839,0.001389463,0.01148146,0.01911451],"category_scores_gemma":[0.02671338,0.0004831803,0.0006815828,0.002867066,0.01756281,0.01105995,0.007888726,0.01292414,0.00146612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01224589,"about_ca_system_score_gemma":0.01740112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06022415,"about_ca_topic_score_gemma":0.07074048,"domain_scores_codex":[0.9873213,0.006056666,0.0003608747,0.001212915,0.00288036,0.002168021],"domain_scores_gemma":[0.9885288,0.006692178,0.0006098869,0.001420876,0.001757993,0.0009903418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001184803,0.000008965623,0.0002004514,0.00001360089,0.000004624213,0.00006401368,0.001904018,0.00006123077,0.00002568042,0.9787844,0.01335451,0.005566702],"study_design_scores_gemma":[0.00002733003,0.0000224094,0.00162778,0.0003276677,0.0000140723,0.0001891983,0.006142532,0.000418546,0.0002022065,0.3310448,0.6599324,0.00005104553],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03575348,0.03100096,0.007023261,0.3982025,0.005941598,0.00005257541,0.0001115376,0.00006913703,0.5218449],"genre_scores_gemma":[0.7261107,0.006728573,0.002257012,0.03377846,0.002564864,0.0001022828,0.00004860457,0.000140138,0.2282694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9397758,"threshold_uncertainty_score":0.1197472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279875414168902,"score_gpt":0.2707392901943746,"score_spread":0.2579405360526856,"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."}}