{"id":"W4384665268","doi":"10.1136/bmjhci-2023-100757","title":"Adherence of randomised controlled trials using artificial intelligence in ophthalmology to CONSORT-AI guidelines: a systematic review and critical appraisal","year":2023,"lang":"en","type":"review","venue":"BMJ Health & Care Informatics","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Queen's University","funders":"","keywords":"Consolidated Standards of Reporting Trials; Checklist; Medicine; MEDLINE; Randomized controlled trial; Critical appraisal; Systematic review; Cochrane Library; Artificial tears; Family medicine; Alternative medicine; Ophthalmology; Psychology; Surgery; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.0150409,0.0005219168,0.02097434,0.0008198841,0.00006424943,0.00004714888,0.0002298512,0.0002624291,0.00002301702],"category_scores_gemma":[0.1695477,0.0003385083,0.001166798,0.001097318,0.0001465552,0.00007399436,0.0001015847,0.0005332675,0.00003383852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001987175,"about_ca_system_score_gemma":0.002804387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001260234,"about_ca_topic_score_gemma":0.000005062682,"domain_scores_codex":[0.9812043,0.002115291,0.01535409,0.0002631371,0.0005775324,0.0004856677],"domain_scores_gemma":[0.9801514,0.01342156,0.004037849,0.0006612892,0.00131877,0.0004091609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002624797,0.00002312615,7.085362e-7,0.9729185,0.0003406394,0.00004402759,0.0006024991,0.000006510994,2.802314e-8,0.0001233633,0.0001557197,0.02552246],"study_design_scores_gemma":[0.002483583,0.0003425384,5.939464e-8,0.9741029,0.01408942,0.001189108,0.003173688,0.003632106,1.614169e-7,0.00002217326,0.000657884,0.0003063669],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000068111,0.9777227,0.004750387,0.0008728848,0.0002608915,0.01621954,0.00008403856,0.00003294432,0.00004982344],"genre_scores_gemma":[0.00004309657,0.9892176,0.007831533,0.001440154,0.0001038638,0.001233467,0.00007996884,0.00003943845,0.00001088575],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1545068,"threshold_uncertainty_score":0.9999067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3970346979723384,"score_gpt":0.611288378169742,"score_spread":0.2142536801974036,"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."}}