{"id":"W4394473283","doi":"10.6084/m9.figshare.5815971","title":"Efficiency of compensatory orthodontic treatment of mild Class III malocclusion with two different bracket systems","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bracket; Malocclusion; Orthodontics; Class (philosophy); Medicine; Dentistry; Mathematics; Computer science; Engineering; Artificial intelligence; Structural engineering","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":[0.0006297733,0.0002452397,0.0003222964,0.0004142531,0.0001656809,0.0001970317,0.0002198754,0.0001576896,0.001320306],"category_scores_gemma":[0.002579722,0.0001158413,0.0003851932,0.0001842819,0.0001557371,0.000120583,0.0002168178,0.0001783565,0.0001705188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001703455,"about_ca_system_score_gemma":0.0002482611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005499225,"about_ca_topic_score_gemma":0.001132991,"domain_scores_codex":[0.9991509,0.0002981215,0.00009054448,0.00008659274,0.0003071654,0.00006667112],"domain_scores_gemma":[0.9992353,0.0001960012,0.0003398945,0.00007461006,0.00008045958,0.00007392439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004835838,0.001401535,0.7020959,0.0002984085,0.000428222,0.0005796551,0.0007340075,0.0009450575,0.03904098,0.0001313493,0.0005129699,0.248996],"study_design_scores_gemma":[0.00008060008,0.004665282,0.9894552,0.00001701897,0.0001213878,0.001353721,0.0002656709,0.0005987037,0.002459405,0.00002451482,0.0009462078,0.00001236706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9990097,0.0003247086,0.0002992732,0.00001709329,0.000005039604,0.0000187653,0.00002701067,0.000009886789,0.0002884355],"genre_scores_gemma":[0.9992261,0.00009260826,0.0004976132,0.000006591175,0.000006975265,0.00001284958,0.00004576779,0.000002474995,0.0001090497],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.001320306,"threshold_uncertainty_score":0.004416823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647031759833522,"score_gpt":0.3059838000311959,"score_spread":0.2595134824328607,"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."}}