{"id":"W4387016023","doi":"10.1007/978-3-031-32408-6_30","title":"Descemet Stripping Only (DSO)","year":2023,"lang":"en","type":"book-chapter","venue":"Essentials in ophthalmology/Essentials ophthalmology","topic":"Corneal surgery and disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stripping (fiber); Medicine; Intervention (counseling); Selection (genetic algorithm); Surgery; Ophthalmology; Intensive care medicine; Computer science; Engineering; Artificial intelligence; Nursing","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":[0.0001287326,0.0003819786,0.0002680181,0.000584079,0.0002835025,0.0005711646,0.0002834317,0.0002894469,0.04218994],"category_scores_gemma":[0.0003831336,0.00009320208,0.0003317853,0.0004377229,0.0003673415,0.0007804579,0.000604848,0.000908128,0.01251431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002007885,"about_ca_system_score_gemma":0.0005430921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005989405,"about_ca_topic_score_gemma":0.001996377,"domain_scores_codex":[0.9998904,0.000007110554,0.00000885566,0.00001910884,0.00005390172,0.00002065725],"domain_scores_gemma":[0.9999044,0.00003752374,0.00001085217,0.00001655285,0.00001042976,0.00002025633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007008453,0.00006601953,0.0006175028,0.0006280543,0.00001458067,0.001937533,0.00008957744,0.0002154704,0.005582667,0.02608365,0.1374515,0.8272434],"study_design_scores_gemma":[0.000007191793,0.0000609019,0.002042941,0.0001962246,0.000009168009,0.01333103,0.00005242092,0.000128045,0.002462219,0.006368976,0.9753329,0.000007879642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0110596,0.03435677,0.01123254,0.002183403,0.00464685,0.00005785506,0.0006404057,0.0005798959,0.9352427],"genre_scores_gemma":[0.07880512,0.04422227,0.00835901,0.002644463,0.001823541,0.00004912627,0.0007747952,0.0002846814,0.863037],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04218994,"threshold_uncertainty_score":0.1411394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07260296952604207,"score_gpt":0.3323328979866829,"score_spread":0.2597299284606409,"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."}}