{"id":"W4399589638","doi":"10.15388/lietchirur.2024.23(2).4","title":"Edukacinio 3D virtualiosios realybės vaizdo metodo įtaka ruošiant žarnyną kolonoskopijai: pirmieji rezultatai","year":2024,"lang":"en","type":"article","venue":"Lietuvos chirurgija","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Colonoscopy; Medicine; Virtual reality; Cathartic; Bowel preparation; Virtual colonoscopy; Randomized controlled trial; Body mass index; Physical therapy; Surgery; Internal medicine; Colorectal cancer; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004191451,0.0007496226,0.001176517,0.0004817153,0.0002183021,0.0001992327,0.0003617587,0.0003304027,0.003126782],"category_scores_gemma":[0.0002459836,0.0006025174,0.0006350095,0.00142739,0.000217644,0.000355322,0.0002875255,0.000887107,0.003323917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005026868,"about_ca_system_score_gemma":0.0003945637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003117742,"about_ca_topic_score_gemma":0.00006393682,"domain_scores_codex":[0.99554,0.000157231,0.0008929248,0.001402778,0.0009817844,0.001025342],"domain_scores_gemma":[0.997321,0.0004884984,0.0001400267,0.001164268,0.0001234255,0.0007628474],"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":[0.01166097,0.006652122,0.04979886,0.005107312,0.01098045,0.034305,0.01005396,0.0001879535,0.03404152,0.03691382,0.3401752,0.4601229],"study_design_scores_gemma":[0.004951349,0.002920593,0.02818464,0.001595228,0.001614372,0.001330014,0.0002704549,0.002125297,0.01091393,0.001855392,0.9429346,0.001304143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720763,0.01522127,0.000236476,0.008915595,0.004970088,0.00258229,0.0003548812,0.002551254,0.2444052],"genre_scores_gemma":[0.9710914,0.001325736,0.001672563,0.002236613,0.001567829,0.0003715107,0.0002768644,0.0002244529,0.02123302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6027594,"threshold_uncertainty_score":0.9996426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01634159455050739,"score_gpt":0.3099078587289535,"score_spread":0.2935662641784462,"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."}}