{"id":"W2103896525","doi":"10.1081/jas-120002292","title":"Towards Excellence in Asthma Management (TEAM): A Populational Disease-Management Model","year":2002,"lang":"en","type":"review","venue":"Journal of Asthma","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Chinese Hospital; Merck Canada Inc. (Canada); Université de Montréal; Université Laval; Quebec Network for Research on Aging; Centre Hospitalier Universitaire Sainte-Justine; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Asthma; Excellence; Psychological intervention; Cohort; Disease management; Family medicine; Asthma management; Disease; Health care; Socioeconomic status; Quality management; Pediatrics; Intensive care medicine; Population; Environmental health; Nursing; Internal medicine; Management system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004462729,0.0006004705,0.001926309,0.001245228,0.0000741974,0.00004982153,0.000450886,0.0001963509,0.0004107424],"category_scores_gemma":[0.0000352955,0.0004443008,0.001368785,0.0005619117,0.00007893985,0.0001901993,0.0001936902,0.0006805988,0.00009620538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005173819,"about_ca_system_score_gemma":0.0003973572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001174919,"about_ca_topic_score_gemma":6.943966e-7,"domain_scores_codex":[0.9956952,0.0001533831,0.001793687,0.0004628137,0.001428233,0.0004666871],"domain_scores_gemma":[0.9975639,0.000033682,0.00106421,0.0005051178,0.0001586319,0.0006744526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001431253,0.0007947463,0.00005858165,0.01742538,0.0003729185,0.004891819,0.00003022902,0.0007937953,2.794974e-8,0.0004683709,0.007003298,0.9680177],"study_design_scores_gemma":[0.001320103,0.0002048197,0.001843732,0.03130429,0.001130904,0.0003556039,0.0000505057,0.001217829,3.697174e-8,0.0001960801,0.961984,0.0003920419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008528421,0.9898511,0.0007976028,0.0001663192,0.0003328021,0.0009380415,0.00004308404,0.00002145708,0.007764379],"genre_scores_gemma":[0.0006297781,0.990899,0.00341117,0.0001929198,0.0005688894,0.00004754456,0.00003962818,0.00008541334,0.00412568],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9676257,"threshold_uncertainty_score":0.9998009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04458650467977416,"score_gpt":0.3317094037551738,"score_spread":0.2871228990753997,"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."}}