{"id":"W6949425480","doi":"10.5281/zenodo.15489105","title":"Віддалені клінічні результати модифікованої шейверної аденотомії з корекцією трубних валиків","year":2023,"lang":"uk","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics)","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":[0.006180588,0.0009326178,0.0007409581,0.003203176,0.005252094,0.01738245,0.001525241,0.00341541,0.05191184],"category_scores_gemma":[0.01603619,0.0009182474,0.001045703,0.003261392,0.009216747,0.01033428,0.005852393,0.004972564,0.02208858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005797583,"about_ca_system_score_gemma":0.0126714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009406935,"about_ca_topic_score_gemma":0.01108832,"domain_scores_codex":[0.9915239,0.0025716,0.0005535451,0.001133737,0.003323143,0.0008941662],"domain_scores_gemma":[0.9924753,0.002433859,0.0005886317,0.0009165262,0.002644458,0.0009412077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001147337,0.0001034557,0.005061104,0.0009069219,0.00004871825,0.0007239454,0.01191614,0.0007781136,0.001683314,0.7657941,0.07187803,0.1409915],"study_design_scores_gemma":[0.00002280444,0.00004574587,0.003461292,0.0009189337,0.00004313127,0.0005749912,0.007665962,0.0005303973,0.001524642,0.1717003,0.8134283,0.00008360251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02014212,0.02026902,0.04829595,0.05014105,0.003583197,0.0003238646,0.00157408,0.0005643722,0.8551063],"genre_scores_gemma":[0.5483598,0.03546107,0.07473853,0.01005551,0.002503805,0.00111348,0.002121045,0.001328543,0.3243183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05191184,"threshold_uncertainty_score":0.1736624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08018410087703723,"score_gpt":0.3238270028685608,"score_spread":0.2436429019915236,"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."}}