{"id":"W4389879411","doi":"10.29327/15112.10-57","title":"AVULSÃO DENTÁRIA: ORIENTAÇÃO DE TERCEIROS QUANTO À CONDUTA E ARMAZENAMENTO","year":2019,"lang":"pt","type":"article","venue":"Anais da ... Mostra de Pesquisa em Ciência e Tecnologia.","topic":"Dental Erosion and Treatment","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006748169,0.0005844883,0.0005874459,0.001453994,0.0009356854,0.002400863,0.0005715875,0.00181475,0.005099083],"category_scores_gemma":[0.001128051,0.000512109,0.000478914,0.001073883,0.000939285,0.001182389,0.0007796992,0.0008423895,0.00166757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007796873,"about_ca_system_score_gemma":0.001066697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0029678,"about_ca_topic_score_gemma":0.006431466,"domain_scores_codex":[0.999576,0.00006300976,0.00003006602,0.0001073168,0.0001691989,0.00005444975],"domain_scores_gemma":[0.9995022,0.00009934012,0.0001765858,0.00003684151,0.0001378041,0.0000471899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008060395,0.0002786326,0.03362766,0.001771338,0.00008958769,0.002033668,0.002936647,0.0005741991,0.5612307,0.004970454,0.001550114,0.390131],"study_design_scores_gemma":[0.0002058845,0.003916441,0.4449509,0.001440282,0.0007776149,0.03310506,0.01133569,0.00285193,0.2595743,0.01007198,0.2314472,0.0003226933],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8116861,0.106224,0.02475726,0.003226355,0.0005318204,0.0002311689,0.0002990108,0.0004628966,0.05258138],"genre_scores_gemma":[0.9255601,0.02668476,0.02053411,0.0005416796,0.000153043,0.00006905795,0.000148996,0.0001137915,0.02619454],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005099083,"threshold_uncertainty_score":0.01705813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486592497793003,"score_gpt":0.2965953811907762,"score_spread":0.2717294562128462,"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."}}