{"id":"W2895948593","doi":"10.1016/j.jcjo.2018.08.004","title":"Predicting visual outcome after open globe injury using classification and regression tree model: the Moradabad ocular trauma study","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Ophthalmology","topic":"Traumatic Ocular and Foreign Body Injuries","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Globe; Outcome (game theory); Tree (set theory); Regression; Psychology; Medicine; Statistics; Mathematics; Ophthalmology","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":[0.002245585,0.0007534152,0.0009385161,0.0008212434,0.00071252,0.000936132,0.0009441759,0.0008477762,0.001341478],"category_scores_gemma":[0.00434549,0.0004120839,0.001411407,0.001070464,0.0003656262,0.00075152,0.0007688766,0.001589575,0.0003728534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007487062,"about_ca_system_score_gemma":0.001108613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077918,"about_ca_topic_score_gemma":0.0145104,"domain_scores_codex":[0.999358,0.0002570251,0.00005782537,0.000118915,0.00008103364,0.000127252],"domain_scores_gemma":[0.9976937,0.000788053,0.0004145022,0.0003281047,0.0003582284,0.0004173426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001273612,0.0009600609,0.9924046,0.00001469262,0.0002650438,0.0001653741,0.000189007,0.0003708117,0.0001178028,0.00005055295,0.000373072,0.003815188],"study_design_scores_gemma":[0.0003131804,0.001806743,0.9837542,0.00002325299,0.0007210819,0.0004075201,0.00160017,0.01045732,0.0002069623,0.0001799065,0.0004986424,0.00003095708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996036,0.00005897654,0.00007377786,0.00004799261,0.000009274044,0.000006391768,0.0001172198,0.000001800151,0.00008100008],"genre_scores_gemma":[0.9991506,0.00009611659,0.000136015,0.00002147338,0.00001888254,0.00001576372,0.0003768894,0.000002690956,0.0001814768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02077918,"threshold_uncertainty_score":0.04131645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08786267620918577,"score_gpt":0.3878456472306661,"score_spread":0.2999829710214803,"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."}}