{"id":"W2016532355","doi":"10.3129/i09-245","title":"Comparison of 3 systems for assigning priority to patients on waiting lists for cataract extraction","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Prioritization; Intraclass correlation; Medicine; Cataract surgery; Prospective cohort study; Cataract extraction; Waiting list; Cohen's kappa; Kappa; Cohort; Optometry; Statistics; Surgery; Internal medicine; Mathematics; Business; Process management","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005551868,0.0001328223,0.0005776862,0.0003283571,0.0001922951,0.0000108299,0.000104582,0.0001877518,0.00004009551],"category_scores_gemma":[0.001562266,0.0001184253,0.0001329584,0.00008375032,0.00008003144,0.00007301747,0.000007149418,0.0003471558,0.000002640861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001063531,"about_ca_system_score_gemma":0.0004283985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101884,"about_ca_topic_score_gemma":0.00008147659,"domain_scores_codex":[0.9987904,0.00004645205,0.0005734562,0.0001472449,0.0001062312,0.0003361777],"domain_scores_gemma":[0.9978135,0.0004608584,0.0004969735,0.0001218721,0.0006862012,0.0004206545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006582041,0.0003053079,0.9943922,0.0002043352,0.000128275,0.0001942371,0.0004656508,0.00003715547,0.00159963,0.0002258263,0.001424953,0.0003642346],"study_design_scores_gemma":[0.001982969,0.01505357,0.9698907,0.0002506652,0.0001569914,0.008799242,0.0004359594,0.0002424038,0.001636166,0.00006266955,0.001336113,0.0001525444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953492,0.00009205182,0.0001057793,0.0003159872,0.002719524,0.0006949826,0.00005187173,0.000002403984,0.0006681612],"genre_scores_gemma":[0.9985848,4.619957e-7,0.0007916912,0.00002964183,0.0003714683,0.00002212389,0.00001804865,0.00001729038,0.0001644581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02450149,"threshold_uncertainty_score":0.4829243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08302960952843008,"score_gpt":0.4268849888361094,"score_spread":0.3438553793076793,"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."}}