{"id":"W1521104949","doi":"10.1111/jgs.13443","title":"Assessing Older Adults’ Masticatory Efficiency","year":2015,"lang":"en","type":"article","venue":"Journal of the American Geriatrics Society","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; McGill University; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Université Laval; Health and Social Services Centre University Institute of Geriatrics of Sherbrooke; McGill University Health Centre; Institut Universitaire de Gériatrie de Montréal; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research; Réseau québécois de recherche sur le vieillissement; Réseau de Recherche en Santé Buccodentaire et Osseuse","keywords":"Masticatory force; Medicine; Cronbach's alpha; Confidence interval; Physical therapy; Raw score; Gerontology; Demography; Psychometrics; Dentistry; Clinical psychology; Statistics; Internal medicine; Raw data","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002488139,0.0001724258,0.0004586619,0.00006921012,0.0005188297,0.00003315292,0.0006198833,0.0000936081,0.00003779778],"category_scores_gemma":[0.0009957544,0.0001117325,0.0004897885,0.0009274014,0.0002854606,0.0002689701,0.0002429337,0.001183344,0.00003844723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005152409,"about_ca_system_score_gemma":0.001567011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008256526,"about_ca_topic_score_gemma":0.000002580811,"domain_scores_codex":[0.9970118,0.0007160828,0.0008545585,0.0001685211,0.0007737558,0.0004752769],"domain_scores_gemma":[0.9956147,0.000467038,0.002659725,0.0004007379,0.0005797727,0.0002780468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001810579,0.0004610992,0.3692643,0.0001968981,0.0002159334,0.00001521327,0.04180029,0.0002807648,0.0004474141,0.0001337791,0.5818402,0.005163032],"study_design_scores_gemma":[0.006975943,0.0005559459,0.6100758,0.000603254,0.0004375082,0.00009933514,0.3144207,0.001437759,0.00004637424,0.001099387,0.06348491,0.0007630568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819211,0.0007589279,0.008703842,0.004957812,0.002212115,0.0002965513,0.000004148662,0.0000390442,0.001106503],"genre_scores_gemma":[0.9854966,0.0000992389,0.01118412,0.00227812,0.000726399,0.000005399829,6.349727e-7,0.00004024362,0.0001692542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5183553,"threshold_uncertainty_score":0.5141109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207928422046088,"score_gpt":0.3904783243666352,"score_spread":0.3483990401461743,"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."}}