{"id":"W2661824934","doi":"10.1177/1460458217720393","title":"A global, incremental development method for a web-based prostate cancer treatment decision aid and usability testing in a Dutch clinical setting","year":2017,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Patient-Provider Communication in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cancer Research Institute","keywords":"Usability; Decision aids; Computer science; Decision support system; Adaptation (eye); Clinical decision support system; Knowledge management; Process management; Medicine; Psychology; Artificial intelligence; Human–computer interaction; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04067997,0.001444963,0.000899434,0.002933586,0.001247958,0.002530395,0.001663405,0.0008387935,0.008591828],"category_scores_gemma":[0.0823286,0.001003246,0.001357974,0.002209419,0.001231459,0.001882879,0.003241813,0.001178212,0.00175887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002659632,"about_ca_system_score_gemma":0.004812451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794095,"about_ca_topic_score_gemma":0.01065052,"domain_scores_codex":[0.9729696,0.01880768,0.003146223,0.00197819,0.002479422,0.0006187898],"domain_scores_gemma":[0.916141,0.06349842,0.001492091,0.004698682,0.01335266,0.0008171441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.002179109,0.005217841,0.0147804,0.006963929,0.000220184,0.00128665,0.06976426,0.004051084,0.02687221,0.005491834,0.01515095,0.8480216],"study_design_scores_gemma":[0.01437088,0.02899468,0.1774351,0.009728857,0.002091451,0.004391335,0.1267125,0.09742223,0.1385173,0.02488587,0.3727655,0.002684375],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.474349,0.0004508171,0.4200514,0.0008988928,0.0003188993,0.07964531,0.002525892,0.003135449,0.01862433],"genre_scores_gemma":[0.1635159,0.0002024305,0.7853582,0.0001709101,0.00002032731,0.0456982,0.0009910403,0.0004932528,0.003549696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04067997,"threshold_uncertainty_score":0.2151389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4159822384907742,"score_gpt":0.5774550142481726,"score_spread":0.1614727757573984,"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."}}