{"id":"W2037394322","doi":"10.1186/1472-6947-13-s2-s2","title":"A systematic development process for patient decision aids","year":2013,"lang":"en","type":"review","venue":"BMC Medical Informatics and Decision Making","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":658,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Checklist; Decision aids; Process (computing); Documentation; Computer science; Health informatics; Medicine; Relevance (law); Process management; Scope (computer science); Quality (philosophy); Management science; Medical physics; Psychology; Nursing; Alternative medicine; Engineering; Pathology; Public health","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":[0.7074481,0.006152811,0.008528297,0.04946875,0.008520144,0.02015734,0.01258499,0.007553168,0.01210082],"category_scores_gemma":[0.7290007,0.006274132,0.01459454,0.03360556,0.0115353,0.02399728,0.02636452,0.01168398,0.007404349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02896537,"about_ca_system_score_gemma":0.1663022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007837862,"about_ca_topic_score_gemma":0.01027802,"domain_scores_codex":[0.1592713,0.6440014,0.1361572,0.01418347,0.04416225,0.002224442],"domain_scores_gemma":[0.1444533,0.5768142,0.05225454,0.05891782,0.1613812,0.006178965],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009147383,0.0004612569,0.002840504,0.1727272,0.001936896,0.0008397553,0.09842903,0.003360649,0.00224238,0.04159575,0.03875824,0.6358936],"study_design_scores_gemma":[0.003313629,0.001472271,0.003803785,0.4219431,0.002902756,0.001209836,0.03846729,0.01218966,0.004759402,0.1102456,0.3984305,0.001262295],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.008871371,0.02863841,0.5353643,0.02612734,0.003222549,0.3787118,0.005475431,0.002908615,0.01068012],"genre_scores_gemma":[0.0128204,0.004956848,0.8710808,0.001247162,0.0002093348,0.1072381,0.001306203,0.0002001365,0.0009410317],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7074481,"threshold_uncertainty_score":0.3607687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3586960129323787,"score_gpt":0.5204964570797852,"score_spread":0.1618004441474065,"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."}}