{"id":"W4392050224","doi":"10.22533/at.ed.1594212420024","title":"EVALUATION OF THE NUMBER OF CANALS MODELED WITH PRODESIGN M FILES UP TO THEIR FRACTURE IN “EX VIVOS” LOWER TEETH”","year":2024,"lang":"en","type":"article","venue":"International Journal of Health Science","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apical foramen; Fracture (geology); Dentistry; Premolar; Root canal; Orthodontics; Dental instruments; Tooth Fracture; Geology; Medicine; Mathematics; Molar; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.003089421,0.00007679162,0.0001702038,0.000222513,0.00003974431,0.00004766598,0.000542647,0.00002292795,0.000109925],"category_scores_gemma":[0.0001793668,0.0000402131,0.00006103177,0.0004587455,0.00009052756,0.0002313155,0.00004316458,0.0001500501,0.000003480293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004354123,"about_ca_system_score_gemma":0.002490961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006640038,"about_ca_topic_score_gemma":0.0006860552,"domain_scores_codex":[0.9969413,0.00009219229,0.0005113916,0.0001380598,0.002179948,0.0001370565],"domain_scores_gemma":[0.9978229,0.00007797019,0.0003847677,0.0001264307,0.001520552,0.0000673355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001188377,0.001448251,0.4617619,0.0003617145,0.001298138,0.0003126571,0.01471939,0.3817875,0.01573888,0.007256114,0.01056518,0.1035619],"study_design_scores_gemma":[0.003357684,0.0006879152,0.8449121,0.006723184,0.0001612965,0.001092472,0.001230189,0.08871927,0.03874335,0.0115529,0.002470256,0.0003494149],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939045,0.0003738752,0.001152627,0.002636142,0.001288083,0.0001999016,0.00002892648,0.000002146984,0.0004137447],"genre_scores_gemma":[0.9990777,0.00001813739,0.0004873628,0.0001974866,0.00005123289,0.000003155211,5.539382e-7,0.000005933995,0.0001584252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3831502,"threshold_uncertainty_score":0.4418859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06239929775272922,"score_gpt":0.4245385561338422,"score_spread":0.362139258381113,"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."}}