{"id":"W2971451126","doi":"","title":"The Zilia imaging system: A novel technology to measure ocular oximetry","year":2019,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Measure (data warehouse); Medicine; Optometry; Computer science; Data mining","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":[0.0009137352,0.0006300693,0.0006962678,0.001943919,0.0005694535,0.001560986,0.001263488,0.001044177,0.003529534],"category_scores_gemma":[0.001839921,0.0006331104,0.000325425,0.001060516,0.0005479215,0.001611667,0.001565884,0.00135969,0.001728371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008315786,"about_ca_system_score_gemma":0.0008801604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360566,"about_ca_topic_score_gemma":0.004573002,"domain_scores_codex":[0.9987757,0.0001740867,0.00006873621,0.0003294437,0.0005907684,0.00006128376],"domain_scores_gemma":[0.9991577,0.0002210171,0.0001693697,0.00008581086,0.0003050414,0.00006112593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004888957,0.0001140941,0.01219965,0.0007065759,0.0001194731,0.0002719905,0.0003617825,0.0002733142,0.7509296,0.005276299,0.008748824,0.2205096],"study_design_scores_gemma":[0.0003634629,0.001440804,0.05448158,0.0003521041,0.0006846066,0.009098664,0.0003486729,0.02722616,0.7578748,0.002449595,0.1451483,0.0005312531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1719926,0.02266394,0.752264,0.003148416,0.001743245,0.001444403,0.00316523,0.008065835,0.03551246],"genre_scores_gemma":[0.4246138,0.00767807,0.5395824,0.002720606,0.0007363468,0.0008675756,0.001409854,0.0005232372,0.02186818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003529534,"threshold_uncertainty_score":0.0118075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816919142635925,"score_gpt":0.3174846027344863,"score_spread":0.299315411308127,"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."}}