{"id":"W2410092176","doi":"","title":"[Analysis of the eye's anterior segment with optical coherence tomography. Static and dynamic study].","year":2005,"lang":"en","type":"article","venue":"Journal Français d Ophtalmologie","topic":"Intraocular Surgery and Lenses","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Crandall University","funders":"","keywords":"Accommodation; Anterior Eye Segment; Optical coherence tomography; Cornea; Vitreous chamber; Optics; Lens (geology); IRIS (biosensor); Radius of curvature; Pupil; Ophthalmology; Curvature; Materials science; Refractive error; Optometry; Medicine; Physics; Mathematics; Eye disease; Mean curvature; Geometry; Computer science; Artificial intelligence; Biometrics","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":[0.0004784063,0.0001659762,0.0005564869,0.0002564083,0.0001507172,0.00003422389,0.0001345697,0.00006196574,0.0002242105],"category_scores_gemma":[0.000110298,0.00008631245,0.0002484878,0.0006291874,0.0002699111,0.00008965403,0.00004864444,0.0003882565,0.000002908675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003926158,"about_ca_system_score_gemma":0.00009082424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002455772,"about_ca_topic_score_gemma":0.00003489329,"domain_scores_codex":[0.9985832,0.000118424,0.0004298173,0.0001936867,0.0004240498,0.0002508206],"domain_scores_gemma":[0.9991096,0.0001457336,0.0001845254,0.000290132,0.000146807,0.000123214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005292097,0.0007437005,0.980373,0.00003553165,0.00255153,0.0006555369,0.0009090763,0.0003724653,0.002754402,0.000005393152,0.00002087093,0.01104932],"study_design_scores_gemma":[0.0009763679,0.001221363,0.9915694,0.0001296209,0.002501163,0.0007736084,0.0008409859,0.0009882045,0.0007953085,0.00000803054,0.00007929978,0.0001166474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997246,0.0008741394,0.0002812936,0.0009455325,0.00008637475,0.0003012885,0.000005538427,0.00001271693,0.0002470811],"genre_scores_gemma":[0.9982839,0.00006786334,0.001198645,0.0002255244,0.00003204666,0.000007894649,9.800457e-7,0.00001060191,0.0001725684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119644,"threshold_uncertainty_score":0.351972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0118874031687639,"score_gpt":0.282075898629044,"score_spread":0.2701884954602801,"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."}}