{"id":"W2939752747","doi":"10.1111/vsu.13197","title":"Cheek teeth apical infection in cattle: Diagnosis, surgical extraction, and prognosis","year":2019,"lang":"en","type":"article","venue":"Veterinary Surgery","topic":"Endodontics and Root Canal Treatments","field":"Dentistry","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Cheek teeth; Cheek; Dentistry; Surgery","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":[0.0005501248,0.0002955708,0.0002750561,0.0009674015,0.0005530648,0.000576022,0.0002262194,0.0006179467,0.001112331],"category_scores_gemma":[0.001349025,0.0002070914,0.0002268443,0.0004860661,0.0005298647,0.0004162363,0.0003491321,0.0002961713,0.0002025556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003318716,"about_ca_system_score_gemma":0.0003283435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296545,"about_ca_topic_score_gemma":0.001905924,"domain_scores_codex":[0.9995952,0.00006874947,0.00005407319,0.00005300083,0.00008842579,0.0001405137],"domain_scores_gemma":[0.9991872,0.0001587307,0.0004326655,0.0000308389,0.00007573006,0.0001148371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001371624,0.00005712259,0.9908359,0.00002997498,0.00001159631,0.004397143,0.0001104023,0.00002590447,0.001236353,0.00001589635,0.00004807837,0.003094399],"study_design_scores_gemma":[0.000008873345,0.0005616565,0.9495979,0.00005974491,0.00003642908,0.04711185,0.001505629,0.0002072171,0.0004844879,0.00005210571,0.0003635313,0.000010609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990509,0.0005743022,0.00007510246,0.0000235288,0.000003433986,0.000005750061,0.00004067672,0.000001271808,0.0002249277],"genre_scores_gemma":[0.9992282,0.0004196114,0.0001458713,0.00001398064,0.00001561975,0.00000415613,0.0001102925,4.886796e-7,0.00006174763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296545,"threshold_uncertainty_score":0.003721178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932551659715992,"score_gpt":0.3095555474871259,"score_spread":0.2702300308899659,"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."}}