{"id":"W4405115160","doi":"10.12968/opti.2022.265.6844.20","title":"Myopia measurements made easy","year":2022,"lang":"en","type":"article","venue":"Optician","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001945045,0.00008002984,0.0001497014,0.00005358167,0.0003163194,0.000004087081,0.00005958494,0.00002240825,0.001367507],"category_scores_gemma":[0.00003991553,0.00007470264,0.00005108594,0.0001127253,0.00004013372,0.00002427261,0.000107417,0.0001615982,0.0001252925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007681873,"about_ca_system_score_gemma":0.00003309988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001158314,"about_ca_topic_score_gemma":6.461094e-7,"domain_scores_codex":[0.9992505,0.00004561017,0.0001109572,0.0001445769,0.0002451296,0.0002031957],"domain_scores_gemma":[0.9997241,0.00001396,0.00003067723,0.0001412686,0.00002640604,0.00006351755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003424421,0.001376366,0.9782195,0.00006243398,0.000323963,0.0001416798,0.0006116515,0.00001603919,0.005791996,0.0007515893,0.01065538,0.001706952],"study_design_scores_gemma":[0.001697217,0.003839308,0.9608396,0.00002599327,0.0001624534,0.0001869992,0.0008441969,0.00005128726,0.0006830394,0.0001631264,0.03133489,0.0001718625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9399005,0.000213434,0.000006763493,0.001796441,0.0004473055,0.0002143811,0.000004148114,0.00005038258,0.05736662],"genre_scores_gemma":[0.9852165,0.000003718244,0.0002784558,0.001475577,0.00009691694,0.00005290405,0.00001066836,0.00001138166,0.01285388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04531598,"threshold_uncertainty_score":0.9995454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08495277275457702,"score_gpt":0.3610431676588197,"score_spread":0.2760903949042426,"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."}}