{"id":"W4392714045","doi":"10.21203/rs.3.rs-3081019/v1","title":"Cataract Risk Factors Prediction Using Deep Leaning Models","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Artificial intelligence; Econometrics; Statistics; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001153308,0.001273389,0.00106349,0.001216544,0.0003487924,0.001130452,0.001104589,0.001454208,0.003461591],"category_scores_gemma":[0.004101787,0.0006097232,0.001500878,0.000818231,0.0004227307,0.0009466322,0.001152034,0.001782924,0.001260331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924116,"about_ca_system_score_gemma":0.001013422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110539,"about_ca_topic_score_gemma":0.00931062,"domain_scores_codex":[0.9996469,0.00007943351,0.00001914085,0.0001233912,0.0000637979,0.00006736318],"domain_scores_gemma":[0.9984885,0.0008840382,0.0001023712,0.0001302825,0.0002882408,0.0001064669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005140571,0.0003222546,0.0125616,0.0001273599,0.0002912769,0.0002174414,0.00005338157,0.6591613,0.003330347,0.004774805,0.009082027,0.3095641],"study_design_scores_gemma":[0.000008509486,0.00001499791,0.0003936814,0.00001122897,0.00001386925,0.00001921061,0.000003280411,0.9956529,0.0002945878,0.003434897,0.0001480242,0.000004749549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1044601,0.001787908,0.8853984,0.001422429,0.0003284891,0.00006500808,0.001583138,0.002523518,0.002431002],"genre_scores_gemma":[0.8652096,0.0008345202,0.1219563,0.0006163259,0.0003520179,0.0001011853,0.003511396,0.0002125207,0.007206147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01110539,"threshold_uncertainty_score":0.02208149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1551264426002416,"score_gpt":0.4484979544481325,"score_spread":0.2933715118478909,"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."}}