{"id":"W2894207088","doi":"10.1111/cob.12283","title":"Personalizing obesity assessment and care planning in primary care: patient experience and outcomes in everyday life and health","year":2018,"lang":"en","type":"article","venue":"Clinical Obesity","topic":"Obesity and Health Practices","field":"Health Professions","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada; Ontario Stroke Network; Canadian Obesity Network; University of Alberta Hospital; University of Alberta","funders":"Mitacs; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Medicine; Primary care; Everyday life; Obesity; Advance care planning; Health care; Family medicine; Nursing; Internal medicine; Palliative care","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004774928,0.0002311357,0.000337326,0.0005145604,0.003396259,0.003393626,0.0005350212,0.001216684,0.002179275],"category_scores_gemma":[0.01320595,0.0002944749,0.0003046958,0.0005315104,0.002462786,0.001555623,0.003740799,0.00174816,0.0002262005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00193683,"about_ca_system_score_gemma":0.00175546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003442546,"about_ca_topic_score_gemma":0.00756744,"domain_scores_codex":[0.9950231,0.003676163,0.0001304517,0.0002516605,0.0003895925,0.00052911],"domain_scores_gemma":[0.9917425,0.004797201,0.001064729,0.0002480726,0.0004067943,0.001740679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002249025,0.0008689609,0.1228721,0.0002556541,0.00006224137,0.002721431,0.804912,0.0002156115,0.001507985,0.0007870572,0.003347358,0.06222478],"study_design_scores_gemma":[0.00006797018,0.001130802,0.1614739,0.0003397126,0.00007108814,0.003534739,0.8164417,0.0005739376,0.0007255085,0.001467389,0.01405528,0.0001179802],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941948,0.0003967055,0.0003797029,0.001872487,0.00002107067,0.00002610654,0.00003738655,0.0000142907,0.003057506],"genre_scores_gemma":[0.99871,0.0002414677,0.0003602039,0.0003029399,0.00001082944,0.00001950193,0.00001906765,0.000004239696,0.0003316525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004774928,"threshold_uncertainty_score":0.02525252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2005328657774184,"score_gpt":0.5544764862543071,"score_spread":0.3539436204768887,"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."}}