{"id":"W4293237142","doi":"10.1002/cre2.70381","title":"Predictors of Root Resorption in Lateral Incisors Adjacent to Maxillary Impacted Canines in CBCT Images: A Retrospective Study","year":2022,"lang":"en","type":"preprint","venue":"Clinical and Experimental Dental Research","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Root resorption; Medicine; Dentistry; Sagittal plane; Cone beam computed tomography; Maxillary central incisor; Resorption; Orthodontics; Incisor; Computed tomography; Anatomy; Surgery; Internal medicine","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":[0.000465568,0.0002726202,0.0003667914,0.001253948,0.0003151847,0.0004526087,0.0002580874,0.0002837667,0.001185445],"category_scores_gemma":[0.001848935,0.0004566943,0.000294694,0.0009508387,0.0003897435,0.0003682849,0.0003551558,0.0002564701,0.0002375231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567513,"about_ca_system_score_gemma":0.0002901437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556961,"about_ca_topic_score_gemma":0.00192616,"domain_scores_codex":[0.9996064,0.00006618875,0.00006660033,0.00009525274,0.0001130231,0.00005261209],"domain_scores_gemma":[0.9987606,0.0002901583,0.0005435039,0.0001407793,0.0001699457,0.00009506981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009567502,0.00002464187,0.9968994,0.00001770485,0.00001513182,0.0006761239,0.00008048336,0.00001536283,0.0005635197,0.000008425061,0.00002702027,0.001576609],"study_design_scores_gemma":[0.000005439693,0.0001469077,0.9910569,0.00001396631,0.00004337078,0.007551296,0.0004726282,0.0001247047,0.0002742896,0.00001732881,0.0002867496,0.000006428711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992736,0.0003354749,0.0001128776,0.00000485746,0.000002137821,0.00001247945,0.00009178081,0.00000231522,0.0001645408],"genre_scores_gemma":[0.9995172,0.0001455092,0.0001133711,0.000005984664,0.000005786214,0.00001100081,0.0001339761,0.000001504208,0.00006570225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001556961,"threshold_uncertainty_score":0.003965735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05688916712927266,"score_gpt":0.4306517298795822,"score_spread":0.3737625627503096,"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."}}