{"id":"W2724521604","doi":"10.2319/022717-147.1","title":"How accurate is Invisalign in nonextraction cases? Are predicted tooth positions achieved?","year":2017,"lang":"en","type":"article","venue":"The Angle Orthodontist","topic":"Orthodontics and Dentofacial Orthopedics","field":"Dentistry","cited_by":208,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rick Hansen Foundation","funders":"","keywords":"Molar; Crown (dentistry); Orthodontics; Medicine; Dentistry; Rotation (mathematics); Mathematics; 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":[0.003633479,0.0004727418,0.0004862023,0.0006553168,0.0003055597,0.0007994549,0.0008418839,0.0009769594,0.002396918],"category_scores_gemma":[0.01593699,0.0004124831,0.0004650769,0.0003000053,0.0007429318,0.0007782521,0.0006511518,0.0004165157,0.001177064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811347,"about_ca_system_score_gemma":0.000356193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091013,"about_ca_topic_score_gemma":0.001868268,"domain_scores_codex":[0.9966189,0.000687876,0.0003983742,0.0005610085,0.001548544,0.0001853789],"domain_scores_gemma":[0.9958325,0.00200289,0.001201397,0.0004518355,0.0004128949,0.00009859497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001556451,0.0001795633,0.6972451,0.0004018932,0.0001116107,0.001678805,0.001296693,0.008590921,0.02807079,0.0004041622,0.0007237596,0.2597402],"study_design_scores_gemma":[0.0000699546,0.002981846,0.8883089,0.0002183896,0.000348777,0.01676618,0.002621514,0.02452371,0.05671214,0.0009386961,0.00637362,0.0001362713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784197,0.001076735,0.01677318,0.0002322934,0.00007517064,0.0000477604,0.0001792775,0.0002128114,0.00298321],"genre_scores_gemma":[0.9942558,0.000244359,0.00491353,0.00001572673,0.00001213458,0.00001178408,0.0001005236,0.00004319972,0.0004029386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003633479,"threshold_uncertainty_score":0.01921594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06290308324280258,"score_gpt":0.3262631964922026,"score_spread":0.2633601132494,"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."}}