{"id":"W2993336215","doi":"","title":"Combining Structural and Functional Measurements to Improve Reproducibility of Follow Up Data in Glaucoma","year":2009,"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 Laval","funders":"","keywords":"Glaucoma; Reproducibility; Optometry; Ophthalmology; Computer science; Medicine; Statistics; Mathematics","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":[0.02608877,0.0008880817,0.001748694,0.003575865,0.001015025,0.0022399,0.001703015,0.002005068,0.0006810734],"category_scores_gemma":[0.06550474,0.000818231,0.001033032,0.002751494,0.0007577976,0.002008477,0.001039679,0.001092278,0.0002441283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004919005,"about_ca_system_score_gemma":0.0006101517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003437671,"about_ca_topic_score_gemma":0.00656419,"domain_scores_codex":[0.9841792,0.008556776,0.002442411,0.001839151,0.00249706,0.0004853127],"domain_scores_gemma":[0.9268432,0.04021487,0.007053706,0.01322227,0.01196636,0.0006997389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002152289,0.0002509604,0.8984424,0.0002432647,0.001416817,0.0002770082,0.0006276213,0.003004301,0.01890953,0.0003042583,0.0009960928,0.07337552],"study_design_scores_gemma":[0.0000910879,0.0005611589,0.9603375,0.00005196658,0.00099451,0.001188226,0.0002030662,0.01817603,0.0164627,0.0008949719,0.0009586979,0.00008002765],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492447,0.002555794,0.04404826,0.0002877431,0.0002686948,0.0001216317,0.0008448337,0.0005325666,0.002095867],"genre_scores_gemma":[0.9833713,0.0001714098,0.01556937,0.00009810049,0.0001069778,0.00006820062,0.0003134453,0.0001141772,0.0001869687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02608877,"threshold_uncertainty_score":0.1379722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09000820593040507,"score_gpt":0.366067622015215,"score_spread":0.2760594160848099,"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."}}