{"id":"W4381245465","doi":"10.1016/bs.dnb.2023.05.002","title":"Neuroethics considerations for precision medicine and machine learning in neurodevelopmental disorders","year":2023,"lang":"en","type":"book-chapter","venue":"Developments in neuroethics and bioethics","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Sociotechnical system; Precision medicine; Artificial intelligence; Neuroethics; Transparency (behavior); Computer science; Machine learning; Data science; Medicine; Psychiatry; Computer security","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":[0.005267886,0.0005996221,0.000520693,0.0008405701,0.001393535,0.005362149,0.001209338,0.005146108,0.01230113],"category_scores_gemma":[0.006251376,0.0003008222,0.0003160893,0.0006697158,0.007681874,0.005901441,0.002020722,0.00879229,0.0032362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002991251,"about_ca_system_score_gemma":0.004065341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002130788,"about_ca_topic_score_gemma":0.006679566,"domain_scores_codex":[0.9984108,0.0007786887,0.00005845991,0.0001116605,0.0005725868,0.00006776323],"domain_scores_gemma":[0.9949551,0.004195331,0.00009677873,0.00017487,0.0004423538,0.0001354685],"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":[0.000004786127,0.00001430325,0.00002405653,0.00007656911,0.000002592952,0.0000550038,0.0002969309,0.0002673516,0.00008616223,0.8942026,0.07235432,0.03261527],"study_design_scores_gemma":[0.000003601493,0.000006723689,0.00005917092,0.0004694453,0.000002570157,0.0001820466,0.0001531516,0.00027514,0.0001075048,0.5268004,0.4719329,0.000007304045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009636293,0.1057911,0.03465282,0.1509672,0.009412558,0.00007306285,0.0001146814,0.0001429983,0.6978818],"genre_scores_gemma":[0.04216683,0.07412181,0.04866417,0.09244144,0.01028759,0.0004160294,0.0001644538,0.0003247979,0.7314129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01230113,"threshold_uncertainty_score":0.04115146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2671981949767127,"score_gpt":0.3716940689764214,"score_spread":0.1044958739997087,"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."}}