{"id":"W2330392401","doi":"10.1097/iae.0b013e31823beb3c","title":"Sutureless Silicone Oil Removal","year":2012,"lang":"en","type":"article","venue":"Retina","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Silicone oil; Silicone; Environmental science; Pulp and paper industry; Materials science; Engineering; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0002827991,0.00009922354,0.0002069434,0.00004105096,0.00003799246,0.000004009935,0.00003861257,0.00007750651,0.0002766303],"category_scores_gemma":[0.0001141954,0.00007473907,0.0001178767,0.0001133829,0.00004085607,0.00005033087,0.00002909736,0.0001492722,0.0003893054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002525104,"about_ca_system_score_gemma":0.00002666257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001869683,"about_ca_topic_score_gemma":4.708249e-7,"domain_scores_codex":[0.9991935,0.00003147644,0.0001370428,0.000120453,0.0001991982,0.0003183299],"domain_scores_gemma":[0.9994518,0.00003882472,0.00003827417,0.0002194088,0.00004159441,0.0002101638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008447334,0.0009164171,0.4240119,0.0009016211,0.0001958864,0.001293888,0.0009325768,4.520208e-7,0.206353,0.01240873,0.04100078,0.3111399],"study_design_scores_gemma":[0.000554147,0.00006596623,0.1716741,0.0001522838,0.0000969298,0.002086577,0.00009970171,0.00001517245,0.01874661,0.00003180959,0.8062737,0.0002030322],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957241,0.001846974,0.00001485077,0.001181447,0.0003446514,0.00004025313,0.000001104816,0.00007159752,0.100775],"genre_scores_gemma":[0.979779,0.0001789865,0.000488208,0.0005942424,0.0009147271,0.000005594334,0.00001546045,0.00001910818,0.01800465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7652729,"threshold_uncertainty_score":0.5003863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773668521228433,"score_gpt":0.2698902270788996,"score_spread":0.2521535418666153,"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."}}