{"id":"W2989530794","doi":"10.1111/hex.12989","title":"Co‐construction of health technology assessment recommendations with patients: An example with cardiac defibrillator replacement","year":2019,"lang":"en","type":"article","venue":"Health Expectations","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National d'Excellence en Santé et en Services Sociaux; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Agency (philosophy); Excellence; Context (archaeology); Health care; Health technology; Medical education; Medicine; Process (computing); Patient participation; Nursing; Psychology; Political science; Computer science; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08326153,0.001043878,0.0008844946,0.001896817,0.01706626,0.008470857,0.003595077,0.01035626,0.004586887],"category_scores_gemma":[0.1305398,0.001029897,0.002438293,0.002149834,0.007807444,0.007469833,0.0102577,0.01275027,0.001372592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01108236,"about_ca_system_score_gemma":0.02092244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008336015,"about_ca_topic_score_gemma":0.0192699,"domain_scores_codex":[0.8094804,0.1653414,0.007108134,0.003021735,0.00964519,0.005403186],"domain_scores_gemma":[0.8034052,0.1549979,0.008820927,0.006977242,0.01520227,0.01059643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000252205,0.001560862,0.01998465,0.002027411,0.0001983391,0.02152195,0.7747292,0.002202414,0.002335633,0.01681934,0.02633753,0.1320305],"study_design_scores_gemma":[0.0002886686,0.001248977,0.01002661,0.003318086,0.0002105008,0.01270757,0.5419101,0.005354628,0.003983269,0.01495682,0.4056005,0.0003942676],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.535748,0.006031974,0.1150382,0.2540763,0.002042365,0.003839531,0.0004204672,0.0005716066,0.08223147],"genre_scores_gemma":[0.8580688,0.003380367,0.1111858,0.01816477,0.0006539404,0.001206585,0.0001970433,0.0002045816,0.006938075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08326153,"threshold_uncertainty_score":0.4403343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1304785190777728,"score_gpt":0.4373347367282065,"score_spread":0.3068562176504337,"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."}}