{"id":"W2983155952","doi":"","title":"Optimizing Adherence to Improve Clinical Outcomes in Patients with Chronic Obstructive Pulmonary Disease.","year":2018,"lang":"en","type":"article","venue":"PubMed","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Pulmonary disease; Intensive care medicine; MEDLINE; Physical therapy; Internal medicine","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":[0.002191007,0.0001896476,0.0006554751,0.0003263123,0.0004800009,0.0008398728,0.0003755929,0.0007018406,0.004006543],"category_scores_gemma":[0.01057199,0.00009369916,0.0006736224,0.0005949771,0.000157309,0.0005011263,0.0006186934,0.001385206,0.000403515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004844183,"about_ca_system_score_gemma":0.001733731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00316572,"about_ca_topic_score_gemma":0.007086199,"domain_scores_codex":[0.9980451,0.000942432,0.0002669101,0.0001168967,0.0004124337,0.0002161846],"domain_scores_gemma":[0.9974934,0.0007852097,0.0006745603,0.0001339876,0.0004249755,0.0004879152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002184657,0.005354517,0.1114049,0.002556481,0.001254734,0.0001044175,0.0008646632,0.0006305273,0.00111445,0.001357363,0.0307429,0.8424304],"study_design_scores_gemma":[0.004110121,0.0136534,0.8371381,0.01031202,0.004633342,0.0008937881,0.003449659,0.005012066,0.002546532,0.01023971,0.1078895,0.0001217116],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.722804,0.1387446,0.003905297,0.06772345,0.002407429,0.0008146746,0.001685941,0.0002170802,0.06169758],"genre_scores_gemma":[0.9498346,0.02992637,0.005783839,0.008642385,0.001230289,0.0004077521,0.0007628492,0.00002487895,0.003387004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004006543,"threshold_uncertainty_score":0.01340318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888986365812144,"score_gpt":0.3083594673086171,"score_spread":0.2794696036504956,"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."}}