{"id":"W7160172347","doi":"10.5281/zenodo.14905918","title":"Характеристика операції видалення третього моляра за ортодонтичними показаннями у віковому аспекті","year":2023,"lang":"uk","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Molar; Extraction (chemistry); Population; MEDLINE","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":[0.007704931,0.0009346851,0.0007190902,0.00332336,0.005348114,0.01750045,0.001758088,0.003332363,0.05322694],"category_scores_gemma":[0.01825753,0.001072118,0.001125029,0.003616508,0.007544388,0.009098332,0.005988314,0.004972021,0.02697513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006802286,"about_ca_system_score_gemma":0.01727915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01230063,"about_ca_topic_score_gemma":0.01476411,"domain_scores_codex":[0.9889608,0.002970007,0.000678378,0.001457803,0.004790673,0.001142298],"domain_scores_gemma":[0.9901274,0.00270563,0.0009357687,0.001283858,0.00360003,0.001347343],"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":[0.000158542,0.0001546877,0.008111443,0.001194758,0.00006970605,0.0006969622,0.01099229,0.001198745,0.002539915,0.6822009,0.1007692,0.1919128],"study_design_scores_gemma":[0.00002586878,0.00005754043,0.004611546,0.0009848844,0.00005566722,0.0004598123,0.00658441,0.0006145799,0.002096945,0.1093419,0.875064,0.0001028063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02024086,0.01567624,0.05233365,0.04318926,0.002802716,0.0004411925,0.001745461,0.0007352602,0.8628355],"genre_scores_gemma":[0.5462623,0.02913918,0.08196659,0.00797584,0.001760864,0.001351198,0.002187085,0.001616308,0.3277407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05322694,"threshold_uncertainty_score":0.1780619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06281337269063117,"score_gpt":0.2924476968083785,"score_spread":0.2296343241177473,"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."}}