{"id":"W4312384142","doi":"10.2196/37685","title":"The Need to Prioritize Model-Updating Processes in Clinical Artificial Intelligence (AI) Models: Protocol for a Scoping Review","year":2022,"lang":"en","type":"review","venue":"JMIR Research Protocols","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Checklist; PsycINFO; Systematic review; Protocol (science); MEDLINE; Data extraction; Computer science; Critical appraisal; Scopus; Artificial intelligence; Machine learning; Medicine; Psychology; Alternative medicine","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01932838,0.0005283714,0.002219955,0.0005615514,0.001053133,0.0003263514,0.001243618,0.0004382137,0.0001454557],"category_scores_gemma":[0.0179834,0.0003724076,0.0005265008,0.003274794,0.0002777159,0.0002721528,0.0005794723,0.003485031,0.00008059075],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008845121,"about_ca_system_score_gemma":0.02058878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005024493,"about_ca_topic_score_gemma":0.0002091802,"domain_scores_codex":[0.9886295,0.002058784,0.004830035,0.001336275,0.001633235,0.001512169],"domain_scores_gemma":[0.9889639,0.006728709,0.0007213757,0.001359672,0.001694859,0.0005315017],"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":[0.0003791708,0.0003996477,0.000001479237,0.3621037,0.00001065086,0.000004885828,0.0001735392,0.00002169661,5.150433e-8,0.0006215933,0.002776287,0.6335073],"study_design_scores_gemma":[0.00003941133,0.0009817423,1.850595e-8,0.4613495,0.00001317495,0.000007822241,0.0001851031,0.001373984,0.000004968409,0.003934629,0.5319039,0.0002057053],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[2.193222e-8,0.1099585,0.001357839,0.00307552,0.00002557799,0.885223,0.0000159111,0.00007096496,0.0002726449],"genre_scores_gemma":[2.654549e-8,0.343111,0.0008313119,0.0004430509,0.0005581382,0.6548008,0.00002953305,0.00009334895,0.0001326857],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6333016,"threshold_uncertainty_score":0.9998728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9295704493715463,"score_gpt":0.7779252916003917,"score_spread":0.1516451577711546,"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."}}