{"id":"W168050424","doi":"10.1007/s00115-013-3732-9","title":"Methodische Defizite in der Neuroethik","year":2013,"lang":"de","type":"article","venue":"Der Nervenarzt","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Neuroethics; Normative; Contextualization; Inference; Politics; Psychology; Focus (optics); Cognitive science; Epistemology; Engineering ethics; Sociology; Computer science; Neuroscience; Interpretation (philosophy); Political science; Artificial intelligence; Law; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001251063,0.0006917971,0.0006873042,0.0007932365,0.000450794,0.000537881,0.001341048,0.0004858219,0.00409272],"category_scores_gemma":[0.004244549,0.0006907494,0.000265457,0.002855891,0.001379558,0.0009170652,0.0007418815,0.002640646,0.008861936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001529192,"about_ca_system_score_gemma":0.0002589479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477293,"about_ca_topic_score_gemma":0.00006046478,"domain_scores_codex":[0.9923285,0.001723335,0.001421037,0.001708552,0.00124508,0.001573521],"domain_scores_gemma":[0.995297,0.002012353,0.0005257874,0.001432875,0.000257164,0.000474844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007338003,0.003540511,0.006952242,0.001054066,0.0002224221,0.001353128,0.004289991,0.0002981792,0.6647344,0.1106013,0.1777821,0.02909839],"study_design_scores_gemma":[0.00539957,0.001053309,0.04612581,0.0009661158,0.0004319012,0.0001084702,0.0004234669,0.01144404,0.3282763,0.06741431,0.5346995,0.003657185],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7264383,0.009635323,0.01623928,0.1828833,0.02366403,0.007598143,0.0003189083,0.001216211,0.0320065],"genre_scores_gemma":[0.9423279,0.0006157385,0.00385837,0.04313014,0.0008517148,0.0004128745,0.0000375483,0.000215496,0.008550239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3569174,"threshold_uncertainty_score":0.9996603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08375398102554345,"score_gpt":0.3368025230795025,"score_spread":0.2530485420539591,"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."}}