{"id":"W4401589796","doi":"10.1186/s13104-024-06893-7","title":"Identifying personalized barriers for hypertension self-management from TASKS framework","year":2024,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University; University of British Columbia; Alberta Health Services; Concordia University; University of Calgary","funders":"AstraZeneca","keywords":"Medicine; Psychological intervention; Diversity (politics); Intervention (counseling); Categorization; Self-management; Task (project management); Knowledge management; Affect (linguistics); Nursing; Psychology; Computer science","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":[0.007830794,0.0004647681,0.0003375924,0.001525146,0.00222203,0.003072335,0.0007133238,0.0005235411,0.002058418],"category_scores_gemma":[0.02500814,0.000231283,0.000679804,0.0008481349,0.001207089,0.001952178,0.004142935,0.001299681,0.0002087905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002813394,"about_ca_system_score_gemma":0.005135914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007751502,"about_ca_topic_score_gemma":0.0180298,"domain_scores_codex":[0.9939897,0.003641095,0.0003994589,0.000230206,0.001231148,0.000508423],"domain_scores_gemma":[0.981987,0.01227796,0.002374437,0.0007435127,0.001629268,0.0009877806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001982094,0.0004873809,0.5141124,0.001206452,0.000118679,0.0004844684,0.3465638,0.0007221973,0.001473452,0.007510033,0.004667944,0.122455],"study_design_scores_gemma":[0.00003750934,0.0002547083,0.7160774,0.001219552,0.0001089848,0.0004415735,0.2543958,0.003447617,0.0009466592,0.005640485,0.01734471,0.00008506735],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826795,0.0004075985,0.006048012,0.001939737,0.00004191761,0.0003868792,0.000316762,0.0000247523,0.008154794],"genre_scores_gemma":[0.9929196,0.0001843433,0.00546938,0.0001459916,0.000009990483,0.0003366294,0.0002303403,0.000008812157,0.0006949136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007830794,"threshold_uncertainty_score":0.04141372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2128325825474978,"score_gpt":0.4299846082334581,"score_spread":0.2171520256859603,"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."}}