{"id":"W3162767413","doi":"10.5114/for.2019.88353","title":"Three-dimensional computed tomography evaluation of airway changes after treatment with Carriere Motion 3D Class II appliance*","year":2019,"lang":"en","type":"article","venue":"Orthodontic Forum","topic":"Facial Rejuvenation and Surgery Techniques","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Class (philosophy); Medicine; Nuclear medicine; Radiology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004845534,0.0002559488,0.0003327949,0.001300901,0.0003775469,0.000535697,0.0003090974,0.0008990133,0.008814899],"category_scores_gemma":[0.00102304,0.0002241153,0.0006681309,0.0006227199,0.000277469,0.0003947174,0.0003655341,0.000853961,0.00165217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004419351,"about_ca_system_score_gemma":0.0004775731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004299311,"about_ca_topic_score_gemma":0.005779983,"domain_scores_codex":[0.9995635,0.00004750256,0.00004647373,0.00004059863,0.000264082,0.00003782347],"domain_scores_gemma":[0.9995458,0.0001105163,0.00006898472,0.00003856852,0.0001911852,0.00004492896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005042344,0.001103086,0.1376962,0.001527707,0.0002368013,0.05873879,0.001597413,0.001501894,0.2378182,0.00146747,0.09392864,0.4593415],"study_design_scores_gemma":[0.0003265828,0.004314601,0.5968761,0.000921022,0.0007063408,0.1257224,0.002351199,0.009714131,0.08989435,0.001006017,0.167809,0.0003582578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8567497,0.03166316,0.0239215,0.01014911,0.002377968,0.001234804,0.005329246,0.001571568,0.06700292],"genre_scores_gemma":[0.9184636,0.0126474,0.02160144,0.002379267,0.0005406342,0.0005081501,0.002625746,0.0002627912,0.04097101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008814899,"threshold_uncertainty_score":0.0294888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298621992865374,"score_gpt":0.2746100277881399,"score_spread":0.2516238078594862,"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."}}