{"id":"W2939559521","doi":"10.1016/j.ortho.2019.03.012","title":"Three-dimensional skeletal and dental patterns obtained from cone-beam computer tomography of patients diagnosed as malocclusion class I","year":2019,"lang":"en","type":"article","venue":"International Orthodontics","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Malocclusion; Cone beam computed tomography; Standard deviation; Orthodontics; Cephalogram; Medicine; Class (philosophy); Mathematics; Computed tomography; Dentistry; Artificial intelligence; Computer science; Statistics; Radiology","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":[0.0001149075,0.0002551015,0.0002299334,0.000971336,0.0002493754,0.0002273356,0.0001787061,0.0003274666,0.002467242],"category_scores_gemma":[0.0007509828,0.0002450466,0.0002342752,0.0004864517,0.000261027,0.0001674112,0.0002117408,0.0002581166,0.0003126361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001709381,"about_ca_system_score_gemma":0.0002437573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006970565,"about_ca_topic_score_gemma":0.008318878,"domain_scores_codex":[0.999863,0.00001496934,0.00002151839,0.00003091405,0.000033148,0.00003630956],"domain_scores_gemma":[0.9997918,0.00005528993,0.00006025862,0.00001351613,0.00004182336,0.00003732551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008272593,0.0001452375,0.9506854,0.00003912835,0.00003131901,0.00777427,0.0006069279,0.0003433831,0.02420354,0.0001223452,0.0004398492,0.01478144],"study_design_scores_gemma":[0.00001085894,0.000169743,0.9902194,0.000003941493,0.00002290078,0.007464626,0.0003218359,0.0004724763,0.0009818304,0.00002738706,0.0002961514,0.000008839727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997997,0.00007602619,0.0002686276,0.00002853155,0.000004018327,0.00001228875,0.0005013634,0.000007376061,0.001104704],"genre_scores_gemma":[0.9988701,0.00007232874,0.0003057326,0.00002024587,0.00000468931,0.00000805316,0.0003212608,0.000004867719,0.0003927099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006970565,"threshold_uncertainty_score":0.01385999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008763948929436887,"score_gpt":0.2497437891506658,"score_spread":0.2409798402212289,"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."}}