{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006581023,0.0002773902,0.0007344856,0.0004911475,0.00155495,0.000008751044,0.0001394307,0.0001278538,0.0003318188],"category_scores_gemma":[0.000009227069,0.0002297758,0.00004524413,0.0007845168,0.0001069326,0.0002900588,0.00003377876,0.0004555131,0.00009724223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001245391,"about_ca_system_score_gemma":0.003064011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002610856,"about_ca_topic_score_gemma":0.0009021426,"domain_scores_codex":[0.9952198,0.001104413,0.001573041,0.0006256651,0.0005775263,0.0008995023],"domain_scores_gemma":[0.9963126,0.0002607719,0.001679734,0.0008229172,0.0004846075,0.0004393417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002196484,0.0005334156,0.9505057,0.001465968,0.00007061484,7.662826e-8,0.01563973,0.00002505392,0.000009308349,0.02187163,0.002017312,0.007641554],"study_design_scores_gemma":[0.01085757,0.03247505,0.1691867,0.004102406,0.0000585343,0.000005369943,0.6729965,0.0001757794,0.0001475862,0.0006638583,0.108341,0.0009896468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776016,0.0004674339,0.002114994,0.00453163,0.001131069,0.00843245,0.0004683787,0.0002419044,0.005010573],"genre_scores_gemma":[0.9333185,0.0002093906,0.05816963,0.001951937,0.00007332786,0.001437145,0.004538358,0.00007110105,0.0002306238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.781319,"threshold_uncertainty_score":0.9997449,"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."}}