{"id":"W3206003967","doi":"10.2196/30653","title":"Mixed Reality and Haptic–Based Dental Simulator for Tooth Preparation: Research, Development, and Preliminary Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Dental Research and COVID-19","field":"Dentistry","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Peking University","keywords":"Virtual reality; Haptic technology; Simulation; Dental education; Computer science; Dentistry; Medicine; Human–computer interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001329856,0.0001457592,0.0001833818,0.0001027007,0.0003747079,0.0003097594,0.0001184089,0.0001116094,0.000138334],"category_scores_gemma":[0.001414889,0.0001489477,0.00004635292,0.0002033811,0.0001497389,0.0002381133,0.0001964751,0.0001508885,0.0000316665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065108,"about_ca_system_score_gemma":0.0008370641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004352185,"about_ca_topic_score_gemma":0.001243577,"domain_scores_codex":[0.9975581,0.0003620372,0.0002745918,0.0005290676,0.0008819136,0.0003943004],"domain_scores_gemma":[0.9983004,0.000640435,0.00006231455,0.0003122645,0.0004227341,0.000261821],"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":[0.0195087,0.002644468,0.0737519,0.004861015,0.0007503618,0.001418286,0.007567224,0.0005388706,0.05174649,0.006502865,0.167876,0.6628339],"study_design_scores_gemma":[0.01283871,0.001775112,0.6894928,0.00029824,0.0001056829,0.0003110997,0.004164876,0.09689604,0.06145376,0.007780129,0.1239205,0.0009630349],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956355,0.001142387,0.0006234914,0.0002424707,0.0001395564,0.001505566,0.0000494191,0.00005431076,0.0006072864],"genre_scores_gemma":[0.9947096,0.00001586665,0.00113161,0.0001219229,0.00006470312,0.000765924,0.0002140761,0.00002208908,0.002954167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6618708,"threshold_uncertainty_score":0.6073912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295594600495311,"score_gpt":0.4505091766753879,"score_spread":0.3209497166258568,"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."}}