{"id":"W4386991856","doi":"10.2196/42202","title":"Development, Reliability, and Structural Validity of the Scale for Knowledge, Attitude, and Practice in Ethics Implementation Among AI Researchers: Cross-Sectional Study","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality","keywords":"Reliability (semiconductor); Scale (ratio); Psychology; Validity; Applied psychology; Computer science; Psychometrics; Clinical psychology; Geography; Physics","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":[],"category_scores_codex":[0.03619515,0.000521933,0.001046779,0.00330965,0.001474858,0.001683557,0.0007743561,0.001125521,0.001721712],"category_scores_gemma":[0.04166716,0.0009597209,0.001880408,0.002171626,0.001526259,0.001957455,0.001581224,0.001579003,0.0004112414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197234,"about_ca_system_score_gemma":0.002882872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001625646,"about_ca_topic_score_gemma":0.002272026,"domain_scores_codex":[0.9843351,0.008112315,0.002335366,0.001312987,0.003217617,0.0006865833],"domain_scores_gemma":[0.9531881,0.02481071,0.006182846,0.002877068,0.01136646,0.001574845],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000135494,0.0008486737,0.9756898,0.0001355044,0.0001746677,0.00006388807,0.006487078,0.0002361035,0.0006841459,0.0003872224,0.0003651018,0.01479233],"study_design_scores_gemma":[0.0001064765,0.001591708,0.9817351,0.0001528534,0.0001552263,0.0002426466,0.00933124,0.003834756,0.000865849,0.0005229806,0.001420035,0.00004108258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925309,0.0001574538,0.003922919,0.0001985929,0.00003341236,0.001398693,0.0002896739,0.00001925285,0.001449174],"genre_scores_gemma":[0.9857858,0.0001414303,0.01042713,0.0001058477,0.00001794879,0.002811212,0.0003797671,0.000009365323,0.0003215081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9638048,"threshold_uncertainty_score":0.1914205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6202086017269537,"score_gpt":0.6779288152890047,"score_spread":0.05772021356205104,"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."}}