{"id":"W4407767410","doi":"10.2196/65565","title":"Checklist Approach to Developing and Implementing AI in Clinical Settings: Instrument Development Study","year":2025,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agency for Healthcare Research and Quality","keywords":"Checklist; Medical physics; Computer science; Medical education; Medicine; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001836653,0.0001080304,0.0002612016,0.0002069397,0.0001331357,0.00003068119,0.00006708873,0.00006516338,0.000006677252],"category_scores_gemma":[0.000494484,0.0000997172,0.00002037996,0.0004142211,0.0000208843,0.0000456141,0.0001145523,0.0002256155,0.00001055066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002366188,"about_ca_system_score_gemma":0.0006381379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002481193,"about_ca_topic_score_gemma":0.0003583467,"domain_scores_codex":[0.9981964,0.00007475907,0.0009025494,0.0003492626,0.0001687609,0.0003082723],"domain_scores_gemma":[0.9994511,0.00009562356,0.00006619185,0.0001581381,0.0001148321,0.0001141279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000625571,0.000453215,0.6483116,0.0001613755,0.0000319867,0.00000248416,0.009759617,6.136371e-7,0.00004782304,0.0002187573,0.002059716,0.3388903],"study_design_scores_gemma":[0.0003602536,0.0001712006,0.8879153,0.0003899678,0.00002657107,0.000003319487,0.03609093,0.0001988436,0.002975979,0.0001583501,0.07152739,0.0001818733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9792602,0.00003285523,0.0008531635,0.0161853,0.0002610833,0.001470025,2.122048e-7,0.00002941726,0.001907741],"genre_scores_gemma":[0.9834546,0.000007240576,0.01048284,0.004636828,0.00008988145,0.00028259,0.00001185802,0.000008074538,0.00102604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3387084,"threshold_uncertainty_score":0.406635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1929707903004567,"score_gpt":0.5109054689174768,"score_spread":0.3179346786170201,"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."}}