{"id":"W2491994323","doi":"10.1097/iae.0000000000001235","title":"AIMING FOR THE BULL'S EYE","year":2016,"lang":"en","type":"article","venue":"Retina","topic":"Drug-Induced Ocular Toxicity","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Columbia College","funders":"","keywords":"Hydroxychloroquine; Medicine; Context (archaeology); Medicaid; Cost–utility analysis; Optometry; Health care; Cost effectiveness; Coronavirus disease 2019 (COVID-19); Internal medicine; Risk analysis (engineering)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000891396,0.0002695997,0.0002996583,0.0004834975,0.0007958373,0.001028261,0.0005559204,0.001182494,0.01693033],"category_scores_gemma":[0.00248629,0.00009706365,0.0008729351,0.0004413316,0.0008637485,0.000919297,0.0005991465,0.001091415,0.001775773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461243,"about_ca_system_score_gemma":0.001631794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005368195,"about_ca_topic_score_gemma":0.004060722,"domain_scores_codex":[0.9995086,0.0001618962,0.00002176889,0.00006364821,0.0001441704,0.00009985442],"domain_scores_gemma":[0.9988046,0.0004339225,0.0003568075,0.00007963512,0.0001300685,0.0001950416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007050922,0.001837434,0.193326,0.002763374,0.0007348901,0.00574232,0.0009125207,0.01159933,0.00891596,0.08444507,0.1032977,0.5857204],"study_design_scores_gemma":[0.0008260702,0.006131776,0.2640756,0.005075438,0.001510076,0.05798648,0.002411238,0.02220197,0.01597459,0.1335063,0.4901153,0.0001851628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4743743,0.06823289,0.03333439,0.136845,0.001195398,0.0005722978,0.00100691,0.0006972296,0.2837417],"genre_scores_gemma":[0.9539307,0.01123095,0.01061201,0.01141033,0.000402859,0.00004606132,0.000169017,0.00003613664,0.01216202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01693033,"threshold_uncertainty_score":0.05663764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02549836629096234,"score_gpt":0.309810199177903,"score_spread":0.2843118328869407,"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."}}