{"id":"W6908678579","doi":"10.3389/fphar.2019.01395.s001","title":"DataSheet_1_Design, Conduct, and Use of Patient Preference Studies in the Medical Product Life Cycle: A Multi-Method Study.pdf","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Preference; Inclusion (mineral); Product (mathematics); Focus group; Health care; Health technology; Patient participation","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03912778,0.0007691027,0.001177362,0.004789236,0.001573222,0.003098137,0.002012623,0.001905058,0.2262202],"category_scores_gemma":[0.0971307,0.001396231,0.001748892,0.007859796,0.001434884,0.002698027,0.002465498,0.002154884,0.04057417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419768,"about_ca_system_score_gemma":0.007514513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001937557,"about_ca_topic_score_gemma":0.004296407,"domain_scores_codex":[0.9745973,0.01615645,0.003392835,0.0008267296,0.004476117,0.0005504826],"domain_scores_gemma":[0.8728031,0.103683,0.002949211,0.007611931,0.01185399,0.001098848],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002755181,0.002516413,0.004834792,0.05139819,0.0001661306,0.0004055463,0.01564441,0.001020024,0.002981534,0.01292118,0.4304073,0.4749493],"study_design_scores_gemma":[0.00242059,0.001971053,0.01963924,0.02358042,0.0001364286,0.0003766251,0.008532074,0.0008178782,0.003019679,0.004642311,0.9347115,0.0001522832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"dataset","genre_scores_codex":[0.02842183,0.003502968,0.04995245,0.004029266,0.00147628,0.5632298,0.2038317,0.001886128,0.1436697],"genre_scores_gemma":[0.02006195,0.002125967,0.1063273,0.002553788,0.000133745,0.8372716,0.01501939,0.0006221999,0.015884],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9608722,"threshold_uncertainty_score":0.7567819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3757814191965382,"score_gpt":0.4255260675236713,"score_spread":0.0497446483271331,"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."}}