{"id":"W2124777076","doi":"10.1111/cdoe.12189","title":"A new insight into masticatory function and its determinants: a latent class analysis","year":2015,"lang":"en","type":"article","venue":"Community Dentistry And Oral Epidemiology","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Vice Chancellor for Research and Technology, Kerman University of Medical Sciences; Alimentary Health","keywords":"Masticatory force; Medicine; Confidence interval; Odds ratio; Latent class model; Demography; Cross-sectional study; Dentistry; Internal medicine; Statistics; Mathematics","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":[0.004060882,0.0007952084,0.0006752734,0.002989631,0.000702136,0.002331971,0.0007192043,0.0006278532,0.00354541],"category_scores_gemma":[0.008038703,0.0002681101,0.002143217,0.002484874,0.001013239,0.001981382,0.001257227,0.001367514,0.00032114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022052,"about_ca_system_score_gemma":0.001679357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006491559,"about_ca_topic_score_gemma":0.00417297,"domain_scores_codex":[0.9981506,0.0009196266,0.0001015204,0.0003656351,0.000284808,0.0001777452],"domain_scores_gemma":[0.9951321,0.003007115,0.0008643313,0.0003763161,0.0003892805,0.0002308673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003129559,0.00048265,0.8204937,0.0003120576,0.001030516,0.0002222733,0.002420026,0.008989433,0.001343725,0.02259054,0.002896759,0.1389053],"study_design_scores_gemma":[0.00009752912,0.000462198,0.7284546,0.0004565428,0.0007308165,0.0006813869,0.003125815,0.2110759,0.000498679,0.04569146,0.008604835,0.0001201912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7394114,0.00671477,0.2380604,0.003563784,0.0001903853,0.0003280224,0.00229472,0.0003297079,0.009106679],"genre_scores_gemma":[0.9795839,0.0008157513,0.01790463,0.00006854025,0.0001120435,0.0001192999,0.0006858743,0.00002520549,0.0006847965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006491559,"threshold_uncertainty_score":0.02147627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1824153545539252,"score_gpt":0.4416830961874714,"score_spread":0.2592677416335462,"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."}}