{"id":"W4407761968","doi":"10.2196/69869","title":"Peer Review for “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":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Checklist; Psychology; Medical education; Computer science; Medicine; Cognitive 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":[0.004442392,0.0001120396,0.0003517893,0.000131419,0.0001289109,0.00002365956,0.00007103622,0.00005796034,0.00000591392],"category_scores_gemma":[0.002441559,0.00009962288,0.00003433638,0.0003381822,0.00001613309,0.0000422167,0.00008194257,0.0001736232,0.00000540054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093738,"about_ca_system_score_gemma":0.0006691674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009044533,"about_ca_topic_score_gemma":0.0001719138,"domain_scores_codex":[0.9979589,0.00006784815,0.001065966,0.0003497726,0.00025604,0.0003014529],"domain_scores_gemma":[0.999001,0.0001611542,0.00008892873,0.0001628764,0.0004820723,0.0001039297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008309865,0.0004688399,0.1925151,0.003209633,0.00005502853,0.000001213871,0.00572739,2.57668e-7,0.00001930551,0.0003844367,0.0651617,0.732374],"study_design_scores_gemma":[0.0003839312,0.0001954481,0.1305573,0.003518525,0.00007201148,0.000002998163,0.01181316,0.0001101406,0.0009845963,0.0001925784,0.8519625,0.0002067663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7660884,0.0008502592,0.003951631,0.2198374,0.0004708996,0.006931332,0.000001372309,0.00004192789,0.001826851],"genre_scores_gemma":[0.8737175,0.000330345,0.06501895,0.04602889,0.0002795807,0.00314566,0.0001176839,0.00002761825,0.01133379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7868009,"threshold_uncertainty_score":0.4062503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2884613191442039,"score_gpt":0.5495383781834352,"score_spread":0.2610770590392313,"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."}}