{"id":"W3158130182","doi":"10.1186/s43058-021-00147-4","title":"Harmonizing evidence-based practice, implementation context, and implementation strategies with user-centered design: a case example in young adult cancer care","year":2021,"lang":"en","type":"article","venue":"Implementation Science Communications","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill; National Center for Advancing Translational Sciences; National Institute of Mental Health; National Cancer Institute; Washington University in St. Louis; National Institutes of Health; Quality Enhancement Research Initiative; Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs; U.S. Department of Veterans Affairs","keywords":"Context (archaeology); Computer science; Cancer; Process management; Software engineering; Medicine; Engineering; History; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004620143,0.0003657594,0.0003894405,0.0007693107,0.004249004,0.0005412215,0.0008779246,0.0000854086,0.0007674152],"category_scores_gemma":[0.0008280787,0.0003715143,0.00004493584,0.00340551,0.0007122839,0.006601226,0.0005513692,0.00056475,0.00002276634],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964567,"about_ca_system_score_gemma":0.01181389,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07658233,"about_ca_topic_score_gemma":0.4795757,"domain_scores_codex":[0.9913641,0.003220561,0.001920038,0.0009929796,0.001204746,0.001297567],"domain_scores_gemma":[0.9886633,0.004062654,0.00130037,0.001483811,0.004072749,0.0004171423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002031107,0.0001513087,0.6497076,0.0004385881,0.00006524454,0.0001209982,0.2370892,0.0001850151,0.01307475,0.02081747,0.002186015,0.07596071],"study_design_scores_gemma":[0.005366914,0.0002247419,0.08380681,0.0003514594,0.00009407187,0.0001413263,0.9001827,0.0005910207,0.003479349,0.0001019914,0.005207737,0.0004518957],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9047821,0.00111274,0.03610161,0.0481332,0.0005142405,0.00779034,0.0006940981,0.0002233068,0.0006484315],"genre_scores_gemma":[0.9408098,0.001013534,0.04314783,0.01106599,0.00004960283,0.003610128,0.0002440587,0.00004005588,0.00001900919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6630934,"threshold_uncertainty_score":0.9998737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7146680135989223,"score_gpt":0.6920483119602389,"score_spread":0.02261970163868343,"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."}}