{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009739185,0.0004540949,0.000789337,0.000701867,0.0002507369,0.001219122,0.0003879695,0.0005142238,0.01091784],"category_scores_gemma":[0.001240338,0.0002096247,0.0009419103,0.0003434504,0.000462108,0.0006244613,0.0009743042,0.0008933972,0.001591579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304693,"about_ca_system_score_gemma":0.0006413015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005083643,"about_ca_topic_score_gemma":0.0004957268,"domain_scores_codex":[0.9995624,0.0001344228,0.00005099055,0.00005307172,0.0001362997,0.00006271755],"domain_scores_gemma":[0.9996899,0.0001061754,0.00006141929,0.0000369717,0.00005790165,0.00004760363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.006372143,0.002938075,0.01392411,0.004158826,0.0002954029,0.001305533,0.0006358462,0.001597791,0.03306126,0.002451834,0.00509189,0.9281672],"study_design_scores_gemma":[0.004543007,0.06553595,0.2575255,0.009000931,0.004373656,0.02712624,0.004100869,0.0145055,0.1028159,0.006851126,0.5031573,0.0004641067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.757991,0.1339792,0.04507412,0.003745321,0.00351158,0.001838128,0.0007499648,0.0005938527,0.05251701],"genre_scores_gemma":[0.887668,0.05000535,0.03152502,0.001209645,0.001140625,0.001066395,0.0007483639,0.0001275375,0.02650911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091784,"threshold_uncertainty_score":0.03652382,"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."}}