{"id":"W2052745641","doi":"10.7202/042815ar","title":"Les codes et les faits: l'article 170 du Code criminel","year":2005,"lang":"en","type":"article","venue":"Les Cahiers de droit","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Ambiguity; Interpretation (philosophy); Criminal code; Code (set theory); Function (biology); Computer science; Linguistics; Criminal law; Political science; Philosophy; Law; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001989425,0.0004390123,0.0003513624,0.002153894,0.007170341,0.008355553,0.0005497712,0.005807973,0.005491261],"category_scores_gemma":[0.005929844,0.0002877136,0.0002864463,0.002113057,0.007290075,0.003239102,0.001878865,0.004543475,0.0006108071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01140106,"about_ca_system_score_gemma":0.007667365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1065617,"about_ca_topic_score_gemma":0.1218227,"domain_scores_codex":[0.9958847,0.001360837,0.00008045398,0.0002932829,0.001869621,0.000511058],"domain_scores_gemma":[0.9981704,0.00113586,0.0001644255,0.00006892667,0.0003256522,0.0001347434],"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":[0.00002627212,0.0000122492,0.0007963156,0.00006250638,0.000003178634,0.0004309129,0.02472972,0.0001130652,0.0002768818,0.8684363,0.08111279,0.02399993],"study_design_scores_gemma":[0.000006368785,0.00001137305,0.002289925,0.0003286007,0.000004470218,0.0005374129,0.01089758,0.0001549102,0.0003886991,0.02684421,0.9585116,0.00002483941],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06890059,0.0290796,0.005656153,0.1607243,0.004507021,0.00007936242,0.0005397993,0.0001377886,0.7303753],"genre_scores_gemma":[0.7768558,0.0104673,0.003072358,0.02426859,0.00168853,0.000191263,0.0002525567,0.0001917307,0.183012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1065617,"threshold_uncertainty_score":0.2118829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823689170857701,"score_gpt":0.2620580329342395,"score_spread":0.2338211412256624,"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."}}