{"id":"W2921855925","doi":"10.2319/051818-375.1","title":"Agreement of the clinician's choice of archwire selection on conventional and virtual models","year":2019,"lang":"en","type":"article","venue":"The Angle Orthodontist","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Shahid Beheshti University of Medical Sciences","keywords":"Orthodontics; Kappa; Arch; Cohen's kappa; Selection (genetic algorithm); Software; Malocclusion; Dentistry; Computer science; Mathematics; Medicine; Artificial intelligence; Statistics; Engineering; Structural engineering; Geometry","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":[0.02566278,0.0005699538,0.0007021905,0.002386521,0.0004885556,0.001418773,0.0009427727,0.0008256331,0.002266882],"category_scores_gemma":[0.09170733,0.0004506958,0.0007714013,0.0006471423,0.001060131,0.0009704456,0.002240823,0.000428158,0.0007454238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005882235,"about_ca_system_score_gemma":0.0006472453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367607,"about_ca_topic_score_gemma":0.002479271,"domain_scores_codex":[0.9598706,0.02231072,0.003816521,0.00303468,0.01031191,0.0006555484],"domain_scores_gemma":[0.9133171,0.0574475,0.005918432,0.007493149,0.0146485,0.001175299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009453424,0.0003587063,0.6270276,0.001505045,0.001243559,0.001122509,0.02796098,0.008450293,0.04752356,0.001504765,0.005052263,0.2687974],"study_design_scores_gemma":[0.000639323,0.002908646,0.7975562,0.001098437,0.0009446428,0.005726948,0.03215238,0.1023164,0.0374979,0.004247211,0.01418882,0.0007231625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730147,0.0005111961,0.02042509,0.0001639994,0.0001304668,0.0001410713,0.0002193703,0.0002459689,0.005148094],"genre_scores_gemma":[0.990989,0.0001356632,0.007856124,0.00004188183,0.00001709315,0.00007270322,0.0001654158,0.00004846821,0.0006736639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02566278,"threshold_uncertainty_score":0.1357194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04000192143335888,"score_gpt":0.3019357671826719,"score_spread":0.261933845749313,"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."}}