{"id":"W3195281710","doi":"10.3390/app11167455","title":"The Montreal Experience: A Retrospective Study Part I—Basic Principles and Treatment Algorithm","year":2021,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Orthokeratology; Context (archaeology); Medicine; Algorithm; Retrospective cohort study; Population; Optometry; Modalities; Pediatrics; Ophthalmology; Surgery; Computer science; Cornea","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008724282,0.0003885394,0.0003825938,0.002653971,0.001088052,0.0008563049,0.000656183,0.0003771614,0.003107513],"category_scores_gemma":[0.002989625,0.0003168846,0.0004619069,0.003372666,0.0006992422,0.0008289752,0.0007784127,0.0003777586,0.0005104562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003179546,"about_ca_system_score_gemma":0.002768898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05649869,"about_ca_topic_score_gemma":0.06943377,"domain_scores_codex":[0.9984781,0.0002375236,0.0002040305,0.0003467413,0.0004718559,0.0002617803],"domain_scores_gemma":[0.9981047,0.0002419762,0.0009004718,0.0001198984,0.0003838896,0.0002491403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007521801,0.00006441136,0.9879768,0.00007239512,0.00002567285,0.0007406921,0.0006193553,0.00006008244,0.0002011102,0.0001389748,0.0009678229,0.009057499],"study_design_scores_gemma":[0.00002164419,0.000354963,0.9860598,0.0001358766,0.00004073971,0.005394514,0.002073687,0.000149626,0.0002157847,0.0000682664,0.005459636,0.0000255596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871193,0.002253402,0.0007055773,0.0002835188,0.00001757757,0.0007086135,0.002692198,0.00002614678,0.006193648],"genre_scores_gemma":[0.9946515,0.001335157,0.0009180629,0.0001962873,0.00004922717,0.000426735,0.001665201,0.00001707453,0.0007406591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9435013,"threshold_uncertainty_score":0.1123396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06144618622742972,"score_gpt":0.364628833950312,"score_spread":0.3031826477228823,"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."}}