{"id":"W2913362901","doi":"10.3148/cjdpr-2018-045","title":"Prevalence and Characteristics Associated with Modified Texture Food Use in Long Term Care: An Analysis of Making the Most of Mealtimes (M3) Project","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Dietetic Practice and Research","topic":"Dysphagia Assessment and Management","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Toronto; University Health Network; Research Institute for Aging; Toronto Rehabilitation Institute; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Texture (cosmology); Term (time); Psychology; Medicine; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0008808312,0.0002813176,0.0002844905,0.001064881,0.001480845,0.0007299394,0.001161058,0.0004049883,0.0008363047],"category_scores_gemma":[0.002551164,0.0002745636,0.0006031667,0.001993614,0.0004182672,0.0003136888,0.001031823,0.000505881,0.000111682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005758753,"about_ca_system_score_gemma":0.006856448,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8655912,"about_ca_topic_score_gemma":0.903519,"domain_scores_codex":[0.9993338,0.0000790835,0.00006402778,0.00008486509,0.0002570931,0.0001811702],"domain_scores_gemma":[0.9984321,0.000105199,0.0006356438,0.00007014897,0.0004832826,0.0002735966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003436058,0.0000205968,0.9982182,0.00001317377,0.00001947154,0.00002094669,0.0002902212,0.00001103573,0.00005762408,0.000005968069,0.0001300518,0.001178173],"study_design_scores_gemma":[0.000001248908,0.00001476631,0.9994204,0.00000713083,0.000005671044,0.00002215259,0.0004135499,0.00003550764,0.00001576798,0.000002504817,0.00005984202,0.000001564128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998038,0.0001199044,0.00006782751,0.00004046556,0.000001742738,0.00004508955,0.001370633,0.000003509975,0.0003128608],"genre_scores_gemma":[0.9984637,0.0001022345,0.0001916965,0.00002816833,0.000001749451,0.00003656293,0.001003454,0.000002394488,0.0001699818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8655912,"threshold_uncertainty_score":0.2704006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117048478106204,"score_gpt":0.4580416135829611,"score_spread":0.3463367657723407,"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."}}