{"id":"W6920941318","doi":"10.6084/m9.figshare.20308078","title":"Additional file 1 of Protocol for a systematic review and meta-analysis of the diagnostic accuracy of artificial intelligence for grading of ophthalmology imaging modalities","year":2022,"lang":"en","type":"article","venue":"Open MIND","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Queen's University; University of Toronto","funders":"","keywords":"Protocol (science); Diagnostic accuracy; Grading (engineering); Medical imaging; Modalities; Neuro-ophthalmology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008933787,0.002182067,0.005267861,0.007154072,0.001188872,0.002439493,0.002048027,0.001914252,0.7032274],"category_scores_gemma":[0.07535413,0.001645255,0.004183278,0.01012346,0.0007416169,0.003182986,0.001597747,0.00181622,0.02772303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002920717,"about_ca_system_score_gemma":0.006745236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007196094,"about_ca_topic_score_gemma":0.01674847,"domain_scores_codex":[0.9968052,0.0009143107,0.001198641,0.0005111194,0.0003292839,0.0002414483],"domain_scores_gemma":[0.9417415,0.04651786,0.005575109,0.001778951,0.003825493,0.0005611146],"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":[0.004199496,0.0001714907,0.002062411,0.6241415,0.002815353,0.000214465,0.0003814765,0.00141707,0.0006922195,0.003950325,0.3442189,0.01573525],"study_design_scores_gemma":[0.1218496,0.002210784,0.03114119,0.2738714,0.02150986,0.001003381,0.001143435,0.005632523,0.002266289,0.03728561,0.5011305,0.0009554797],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"dataset","genre_gemma":"protocol","genre_scores_codex":[0.0009550325,0.001768876,0.001836384,0.0007021528,0.0002203697,0.02581308,0.965546,0.0005031808,0.002655102],"genre_scores_gemma":[0.02352511,0.00472625,0.024205,0.003357536,0.0005227265,0.6472945,0.2692542,0.0008829456,0.02623183],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.7032274,"threshold_uncertainty_score":0.42331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1724886078561729,"score_gpt":0.4323938137269798,"score_spread":0.2599052058708069,"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."}}