{"id":"W7144972604","doi":"","title":"英米法系公法の調査研究(3) : カナダにおける安楽死法の法形成過程 Carter v. Canada (Attorney General), [2015] 1 SCR 331 を中心として","year":2017,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Production (economics); Pollution prevention","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0007033031,0.0007003912,0.0007147525,0.0001101444,0.0191885,0.001611163,0.001515061,0.0003446267,0.0003831266],"category_scores_gemma":[0.001252351,0.0006550432,0.0003245868,0.0003455353,0.003533664,0.002564414,0.001075086,0.0006736119,0.0001367845],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872355,"about_ca_system_score_gemma":0.009111157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9175978,"about_ca_topic_score_gemma":0.9014769,"domain_scores_codex":[0.9938495,0.0002570299,0.0009893855,0.001219351,0.002430809,0.001253963],"domain_scores_gemma":[0.9949315,0.0002125066,0.000792119,0.002148943,0.001082772,0.0008321356],"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":[0.0001914297,0.0003646336,0.017396,0.0002097946,0.0008551875,0.002334238,0.004589472,0.0003456736,0.000918799,0.2510922,0.7208382,0.0008643888],"study_design_scores_gemma":[0.0007730916,0.00005901302,0.02121846,0.0002888908,0.0002489666,0.00008765145,0.001468486,0.000209374,0.0004386053,0.0001025411,0.9742179,0.0008870219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3344275,0.01152512,0.0003576441,0.06183678,0.113683,0.002487999,0.01872523,0.0003895099,0.4565672],"genre_scores_gemma":[0.9549642,0.000630538,0.0006381619,0.000612188,0.01712931,0.00008321471,0.0006664334,0.00004635939,0.02522964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6205367,"threshold_uncertainty_score":0.9995901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02382741320502648,"score_gpt":0.3038308707571354,"score_spread":0.2800034575521089,"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."}}