{"id":"W2025132730","doi":"10.1016/j.jcjo.2011.09.010","title":"Predicting retinal tears in posterior vitreous detachment","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Posterior vitreous detachment; Medicine; Retinal Tear; Tears; Retinal detachment; Retinal; Ophthalmology; Vitreous hemorrhage; Odds ratio; Presentation (obstetrics); Prospective cohort study; Logistic regression; Population; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004523532,0.0001064299,0.0003424925,0.0004385486,0.00003675749,0.000006723481,0.0001081792,0.00009975019,0.001466544],"category_scores_gemma":[0.0002089493,0.00009181324,0.0001226832,0.0001334454,0.0000991777,0.00005424074,0.00001142457,0.0003423018,0.00001660797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001407655,"about_ca_system_score_gemma":0.0008973287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005201576,"about_ca_topic_score_gemma":0.0002484836,"domain_scores_codex":[0.9988799,0.00008253992,0.000446065,0.0001167176,0.000110542,0.0003642052],"domain_scores_gemma":[0.998935,0.00003262249,0.0001769444,0.0001224737,0.0001181942,0.0006147253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001949864,0.00002692212,0.7920172,0.0000186033,0.00003158919,0.2059456,0.0004924735,6.745925e-7,0.00043237,0.00001604263,0.00006766293,0.0007558955],"study_design_scores_gemma":[0.0003712622,0.0006475764,0.5496654,0.0001171273,0.00003023905,0.4482713,0.0001641684,0.000004901405,0.000324395,0.00009569257,0.0002497744,0.00005821004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687663,0.000530408,0.000003212032,0.000293774,0.000478874,0.00008892428,0.000002629602,0.000002140951,0.02983374],"genre_scores_gemma":[0.9985536,0.000003121131,0.0006655845,0.00009360916,0.0001153176,0.000001782706,0.000001155586,0.00001439282,0.0005514096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2423518,"threshold_uncertainty_score":0.9994463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622054151108531,"score_gpt":0.2680321043985136,"score_spread":0.2318115628874283,"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."}}