{"id":"W2122916132","doi":"10.1007/978-3-642-37090-8_4","title":"“Law, Marching with Medicine but in the Rear and Limping a Little”: Ethics as “First Aid” for Law","year":2013,"lang":"de","type":"book-chapter","venue":"Beiträge zum ausländischen öffentlichen Recht und Völkerrecht","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Law; Medical law; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002609456,0.0005575524,0.000337226,0.0006691008,0.004702689,0.007052868,0.001164987,0.005945005,0.006681385],"category_scores_gemma":[0.005285582,0.0003319368,0.0003075416,0.0007376718,0.02651654,0.008891768,0.002207757,0.009019529,0.00189736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004205907,"about_ca_system_score_gemma":0.01112998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009593713,"about_ca_topic_score_gemma":0.01936526,"domain_scores_codex":[0.9975715,0.001467777,0.00005896733,0.0001908351,0.0005006154,0.0002102422],"domain_scores_gemma":[0.9982815,0.00115563,0.00009610297,0.0001255866,0.0001972473,0.0001439888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002542233,0.000009018972,0.00003654207,0.00002227889,0.000001146304,0.00002030431,0.00371907,0.00004992813,0.00004865086,0.933293,0.05501657,0.007780853],"study_design_scores_gemma":[0.00000472391,0.000008217201,0.0001298659,0.0002519972,0.000002494716,0.0000887291,0.00267255,0.0001487561,0.0001949197,0.5074742,0.4890123,0.00001117978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003341637,0.03101236,0.01376733,0.1391262,0.003996828,0.00005937873,0.00004963858,0.0001147651,0.8085318],"genre_scores_gemma":[0.2256069,0.0153488,0.01301256,0.0855352,0.003092848,0.0002130852,0.00007680913,0.0003477063,0.6567661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009593713,"threshold_uncertainty_score":0.03051615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1219671263645293,"score_gpt":0.401220376673423,"score_spread":0.2792532503088938,"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."}}