{"id":"W4402369542","doi":"10.1007/978-3-031-63508-3_7","title":"Macular Hole Classifications","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Retinal and Macular Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Macular hole; Computer science; Ophthalmology; Medicine; Vitrectomy","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":[0.0002873153,0.0006979593,0.0004428924,0.002557567,0.0005823091,0.001289488,0.0007086128,0.0005140456,0.08480828],"category_scores_gemma":[0.0008852699,0.0002342984,0.0003813253,0.001527726,0.0003784005,0.001310113,0.00094054,0.001390646,0.0518149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007093232,"about_ca_system_score_gemma":0.0007681407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003046421,"about_ca_topic_score_gemma":0.0101506,"domain_scores_codex":[0.9998201,0.00002122083,0.00001416143,0.00002382636,0.00009160359,0.00002907023],"domain_scores_gemma":[0.9997643,0.00005139419,0.00001871563,0.00002345969,0.000103634,0.00003845897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001920964,0.00002017395,0.0004191734,0.0001026868,0.00000307443,0.0001685424,0.0001108062,0.0002865501,0.0003597075,0.0188689,0.6430784,0.3365629],"study_design_scores_gemma":[0.000002055224,0.00001099495,0.0008872012,0.0001885014,0.000003043162,0.0008298211,0.00007144546,0.00011427,0.00008955083,0.007076938,0.9907216,0.000004659105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001511701,0.0265728,0.005890917,0.002432851,0.005612249,0.000108695,0.001409875,0.0003398942,0.956121],"genre_scores_gemma":[0.005867966,0.01824609,0.006813143,0.001611262,0.001797977,0.00007737882,0.00216525,0.0002070889,0.9632137],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08480828,"threshold_uncertainty_score":0.283712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690159787516568,"score_gpt":0.2737896069179532,"score_spread":0.2368880090427876,"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."}}