{"id":"W4401482165","doi":"10.1016/j.jcjo.2024.07.007","title":"Ultrasound biomicroscopy of cosmetic iris implants for surgical planning","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Intraocular Surgery and Lenses","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ultrasound biomicroscopy; IRIS (biosensor); Medicine; Ultrasound; Ophthalmology; Optometry; Computer science; Radiology; Computer vision; Biometrics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003948467,0.0004572703,0.000256212,0.00243866,0.0005917879,0.0006791403,0.0003223812,0.0008986579,0.005861386],"category_scores_gemma":[0.00213389,0.0003547943,0.0004189798,0.0005375269,0.000480332,0.0006548692,0.000395428,0.001016818,0.0008457107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000530745,"about_ca_system_score_gemma":0.001086704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006028546,"about_ca_topic_score_gemma":0.007825046,"domain_scores_codex":[0.9997268,0.00004441844,0.00003152883,0.0000214279,0.0001159996,0.00005979714],"domain_scores_gemma":[0.9993311,0.0003449481,0.00004992237,0.00007415696,0.0001235905,0.00007629826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005769936,0.0003926427,0.1044753,0.0008180068,0.00009533469,0.1623408,0.001587772,0.003874343,0.3795434,0.002485391,0.006888884,0.3317281],"study_design_scores_gemma":[0.0002187117,0.001852919,0.3193002,0.0008249711,0.0002946466,0.4121192,0.00201955,0.02339039,0.2172369,0.002113604,0.02037872,0.0002501549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9217759,0.008679514,0.02518833,0.002029044,0.0002820712,0.00024376,0.0007135581,0.0005548201,0.04053294],"genre_scores_gemma":[0.9836529,0.002365662,0.01120433,0.0002702262,0.00008114853,0.00002900775,0.0001014697,0.00009091126,0.002204222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006028546,"threshold_uncertainty_score":0.01960826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03734958669377203,"score_gpt":0.3399626007833502,"score_spread":0.3026130140895781,"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."}}