{"id":"W3163142507","doi":"10.1111/hex.13244","title":"Processes for evidence summarization for patient decision aids: A Delphi consensus study","year":2021,"lang":"en","type":"article","venue":"Health Expectations","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Automatic summarization; Delphi method; Decision aids; Delphi; Computer science; Process (computing); Stakeholder; Evidence-based medicine; Critical appraisal; Knowledge management; MEDLINE; Psychology; Medical education; Medicine; Information retrieval; Alternative medicine; Artificial intelligence; Public relations","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.5156909,0.002808471,0.004144876,0.01589602,0.009949581,0.009459597,0.006522984,0.005738346,0.006402538],"category_scores_gemma":[0.504854,0.003272474,0.006052101,0.01071055,0.0102217,0.01148555,0.02671391,0.007166361,0.001377989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01646559,"about_ca_system_score_gemma":0.06598169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0033928,"about_ca_topic_score_gemma":0.003612061,"domain_scores_codex":[0.3272389,0.5938703,0.04417802,0.007643618,0.02005376,0.007015322],"domain_scores_gemma":[0.4251,0.4301605,0.01784928,0.01737796,0.1017715,0.007740901],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001708587,0.0009292687,0.005384319,0.02819479,0.001162121,0.0009670587,0.6350191,0.00693921,0.003159396,0.03421602,0.01366932,0.2686507],"study_design_scores_gemma":[0.0029747,0.004174008,0.008298696,0.05933648,0.001655438,0.001251726,0.6178253,0.03485694,0.006632552,0.116775,0.1449552,0.001263944],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2100006,0.005840756,0.4601822,0.02736447,0.001472342,0.2743953,0.001085187,0.0005894908,0.01906964],"genre_scores_gemma":[0.3039869,0.002633069,0.5041665,0.00318687,0.0001524749,0.1840315,0.0005135381,0.0001426855,0.001186418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5156909,"threshold_uncertainty_score":0.5972394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2740373297419293,"score_gpt":0.5462272779974153,"score_spread":0.272189948255486,"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."}}