{"id":"W4229017613","doi":"10.2196/28558","title":"A Platform to Develop and Apply Digital Methods for Empirical Bioethics Research: Mixed Methods Design and Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Modular design; Agile software development; Empirical research; Leverage (statistics); Software engineering; Software; User story; Process (computing); Systems engineering; Data science; Management science; Software development; Engineering management; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2321319,0.001654501,0.001458703,0.00577066,0.003982894,0.008391553,0.004627996,0.003692872,0.00909394],"category_scores_gemma":[0.1870635,0.001833405,0.003000696,0.003261219,0.007198717,0.006735084,0.01324884,0.004281139,0.002162806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005245578,"about_ca_system_score_gemma":0.01992785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007460652,"about_ca_topic_score_gemma":0.001131518,"domain_scores_codex":[0.7524757,0.2211343,0.007214609,0.006287415,0.0107546,0.002133306],"domain_scores_gemma":[0.7319235,0.1942862,0.0114403,0.03345865,0.02369894,0.005192411],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001656023,0.004994645,0.008917094,0.01737159,0.0009284366,0.001075835,0.08469728,0.006145203,0.01074187,0.192691,0.01617273,0.6546082],"study_design_scores_gemma":[0.008169083,0.01837171,0.01292023,0.03390654,0.001816844,0.001749284,0.08318548,0.0349516,0.02810725,0.2599054,0.5160532,0.0008634207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03579332,0.00162947,0.8322445,0.004246527,0.0009582157,0.1110268,0.0006084868,0.0007451843,0.01274742],"genre_scores_gemma":[0.02717366,0.0003473811,0.8763133,0.0007776549,0.00004947549,0.09446287,0.00008368204,0.0001135165,0.000678481],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7678681,"threshold_uncertainty_score":0.9469181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8955216060297742,"score_gpt":0.7570730837850308,"score_spread":0.1384485222447434,"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."}}