{"id":"W2346404603","doi":"10.1016/j.prosdent.2016.03.002","title":"Multivariate evaluation of the cutting performance of rotary instruments with electric and air-turbine handpieces","year":2016,"lang":"en","type":"article","venue":"Journal of Prosthetic Dentistry","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ram air turbine; Multivariate statistics; Mechanical engineering; Automotive engineering; Turbine; Engineering; Computer science; Machine learning","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":[0.001615441,0.0004725888,0.0005721175,0.000732614,0.0002636623,0.000522189,0.0003411565,0.0004460753,0.0009605121],"category_scores_gemma":[0.00463845,0.0001837762,0.0008085885,0.0009485332,0.0003896644,0.0004089456,0.000279742,0.0004716821,0.000191809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002104219,"about_ca_system_score_gemma":0.0003036825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417816,"about_ca_topic_score_gemma":0.001053287,"domain_scores_codex":[0.9986029,0.0002733938,0.000119482,0.0002615153,0.0005880959,0.0001546056],"domain_scores_gemma":[0.9949204,0.003021065,0.0006832599,0.0002958903,0.0008879098,0.0001914241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00825113,0.001044957,0.1767867,0.0003732612,0.0008087796,0.0001591447,0.0004417231,0.006689061,0.7058761,0.0001380476,0.000261525,0.09916952],"study_design_scores_gemma":[0.0000420085,0.005697132,0.8073763,0.00001459604,0.0005608894,0.0004328158,0.0003818466,0.0227385,0.161979,0.00009872652,0.0005752407,0.0001029686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973516,0.0001713015,0.002215342,0.000005338817,0.000007303724,0.00001020936,0.0001049627,0.0000165524,0.0001173331],"genre_scores_gemma":[0.9976038,0.00009167192,0.001867065,0.000005746027,0.0000110409,0.00000902176,0.000219137,0.00001052438,0.0001819038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001615441,"threshold_uncertainty_score":0.008543313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325333862986893,"score_gpt":0.308331060543777,"score_spread":0.285077721913908,"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."}}