{"id":"W4384829247","doi":"10.24124/2023/59405","title":"Entering Canadian long-term care with obesity: Exploring initial assessment data","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Obesity; Gerontology; Population; Medicine; Demography; Long-term care; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003295975,0.000542263,0.0004119553,0.004741129,0.004103168,0.002188755,0.001803497,0.0004379038,0.002511499],"category_scores_gemma":[0.01276908,0.0003385325,0.0007538024,0.009786421,0.0005647099,0.0007037555,0.001866643,0.00100223,0.0005758464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03283792,"about_ca_system_score_gemma":0.05932633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921934,"about_ca_topic_score_gemma":0.9964584,"domain_scores_codex":[0.9966137,0.0002493957,0.0002159506,0.0002312999,0.001858067,0.0008314761],"domain_scores_gemma":[0.987011,0.0008430093,0.001177702,0.0002941683,0.009663528,0.001010665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006767445,0.00008230621,0.96029,0.0001873542,0.00003636211,0.0001653041,0.007362408,0.0001792238,0.0001690807,0.0003541271,0.006729775,0.02437646],"study_design_scores_gemma":[0.000003742545,0.00003871821,0.9848197,0.000138365,0.00001698761,0.00005476398,0.009338086,0.000437467,0.0000930125,0.00004156132,0.004998968,0.00001858957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442446,0.0008354121,0.0007346076,0.00146232,0.00002847503,0.0008266756,0.03651813,0.00005223035,0.01529747],"genre_scores_gemma":[0.9685335,0.001372292,0.003140797,0.0005486628,0.00001583384,0.0005606479,0.02245392,0.00002145888,0.003352988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03283792,"threshold_uncertainty_score":0.2382569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.317260330054109,"score_gpt":0.5420485831604045,"score_spread":0.2247882531062955,"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."}}