{"id":"W4224308317","doi":"10.1016/j.jcjo.2022.03.011","title":"Ten-year analysis of traumatic open-globe injuries in Edmonton, Canada, from 2009–2018","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Traumatic Ocular and Foreign Body Injuries","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Poisson regression; Incidence (geometry); Globe; Demographics; Emergency department; Injury prevention; Poison control; Demography; Pediatrics; Surgery; Emergency medicine; Population; Ophthalmology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006797347,0.0006911907,0.0006071404,0.003227286,0.002351342,0.001513278,0.002124819,0.001018034,0.0025161],"category_scores_gemma":[0.002177679,0.0005452722,0.001438302,0.006197114,0.000621256,0.0006449441,0.0016408,0.00132412,0.0003658986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02439756,"about_ca_system_score_gemma":0.04363412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913816,"about_ca_topic_score_gemma":0.9952708,"domain_scores_codex":[0.9985446,0.0000440896,0.0001677809,0.0001866605,0.0004834601,0.0005735353],"domain_scores_gemma":[0.9969325,0.00006905705,0.0006192335,0.00007538959,0.00170698,0.0005968969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001118818,0.00003675757,0.992767,0.00009183448,0.0001859552,0.0002285957,0.0002664678,0.0002045333,0.00009765508,0.0001112457,0.002712906,0.003185145],"study_design_scores_gemma":[0.000006101955,0.00002289548,0.9961483,0.0001172183,0.00008157982,0.0001879894,0.00118723,0.0002061067,0.00003925506,0.00001805846,0.001970161,0.00001500815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373243,0.004632913,0.0002511948,0.0008459078,0.0001203931,0.00009749678,0.05074564,0.00004457491,0.005937776],"genre_scores_gemma":[0.9750463,0.002487194,0.0002402327,0.0003273153,0.00003002782,0.00004035397,0.01841271,0.00001280427,0.003403138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02439756,"threshold_uncertainty_score":0.1770176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455692645608562,"score_gpt":0.2802729298332985,"score_spread":0.2557160033772129,"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."}}