{"id":"W7042692020","doi":"","title":"Promoting Evidence-Based Asthma Care Using Digital Knowledge Translation Tools: Impact of the Provider Asthma Assessment Form and Severe Asthma Algorithm (PEACKT-PAAF)","year":2024,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asthma; Knowledge translation; Medical record; Observational study; Primary care; Electronic medical record; Data extraction; Electronic health record","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01144796,0.0001836858,0.0002635646,0.0008264372,0.0006192379,0.002424465,0.0007984389,0.0004856895,0.003450158],"category_scores_gemma":[0.033655,0.0001678474,0.0005435235,0.00110383,0.0006298009,0.001400936,0.002230022,0.000728812,0.0003748519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005047461,"about_ca_system_score_gemma":0.01929031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07623263,"about_ca_topic_score_gemma":0.1597821,"domain_scores_codex":[0.9924707,0.003535326,0.000661412,0.0003084011,0.002431668,0.0005924832],"domain_scores_gemma":[0.9828148,0.008341979,0.003518247,0.0007754858,0.002546971,0.002002503],"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":[0.0006318261,0.002642654,0.3771431,0.004227483,0.0002041071,0.0002171839,0.00710138,0.0003737588,0.0006084737,0.0005825252,0.01086697,0.5954005],"study_design_scores_gemma":[0.000731749,0.002575826,0.9493146,0.006260426,0.0003605596,0.0003734463,0.007742159,0.001596539,0.0007372395,0.0005101383,0.02973034,0.0000669311],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550787,0.005314352,0.001541135,0.0142822,0.0001311895,0.002318532,0.001679486,0.000118691,0.01953581],"genre_scores_gemma":[0.9791727,0.004111981,0.01273164,0.001196936,0.00007717592,0.0009072857,0.0006997914,0.0000149575,0.001087414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07623263,"threshold_uncertainty_score":0.1515778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211854301546727,"score_gpt":0.2750515473632046,"score_spread":0.2538661172085319,"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."}}