{"id":"W4308194052","doi":"10.1038/s41746-022-00716-4","title":"Representational ethical model calibration","year":2022,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Wellcome; Medical Research Council; University College London Hospitals NHS Foundation Trust; Engineering and Physical Sciences Research Council; National Institute for Health and Care Research; Wellcome Trust","keywords":"Biobank; Fidelity; Equity (law); Management science; Health care; Context (archaeology); Population; Data science; Computer science; Engineering ethics; Epistemology; Psychology; Sociology; Political science; Engineering","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":[0.02415801,0.001061274,0.001111914,0.001793083,0.001433029,0.006713662,0.002794087,0.003648384,0.009165438],"category_scores_gemma":[0.1416633,0.0006094066,0.001465765,0.001548977,0.005690049,0.006566507,0.00686461,0.005964895,0.0009721146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004652488,"about_ca_system_score_gemma":0.004386444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002723237,"about_ca_topic_score_gemma":0.00209292,"domain_scores_codex":[0.9799068,0.01321815,0.0009264789,0.002279918,0.002860511,0.000808112],"domain_scores_gemma":[0.9403066,0.04226839,0.003919609,0.008434842,0.00434819,0.0007223488],"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":[0.00003098639,0.00003489949,0.001317463,0.00008409122,0.0000422855,0.00008112604,0.0005481298,0.1006957,0.000252785,0.8765596,0.001908809,0.01844419],"study_design_scores_gemma":[0.00001130075,0.00001909108,0.000288003,0.00008974724,0.00001014251,0.00005010382,0.0001353759,0.1694169,0.0002726903,0.8257787,0.003903219,0.00002484706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01406705,0.0002422984,0.9599881,0.005814708,0.00009091141,0.0001757771,0.0003785115,0.0001944414,0.01904813],"genre_scores_gemma":[0.7078862,0.000426268,0.2831532,0.001700803,0.000186059,0.0007698667,0.0007837711,0.0002192415,0.0048746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02415801,"threshold_uncertainty_score":0.1277613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5277191323212951,"score_gpt":0.5939597710879909,"score_spread":0.06624063876669584,"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."}}