{"id":"W2900904000","doi":"10.1186/s13012-018-0836-4","title":"T-CaST: an implementation theory comparison and selection tool","year":2018,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa; University of Toronto; St. Michael's Hospital","funders":"National Center for Advancing Translational Sciences; National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institute of Mental Health; Centers for Disease Control and Prevention","keywords":"Health informatics; Health administration; Medicine; Health services research; Selection (genetic algorithm); Public health; Nursing; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1379832,0.002074368,0.00267115,0.01932849,0.004066444,0.008899915,0.005323927,0.002005223,0.03126638],"category_scores_gemma":[0.3205045,0.001841513,0.0056391,0.01607202,0.003317267,0.01009684,0.01302452,0.004292427,0.00268241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00615859,"about_ca_system_score_gemma":0.01728022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001905315,"about_ca_topic_score_gemma":0.00298821,"domain_scores_codex":[0.8584009,0.1115186,0.01334212,0.003908024,0.01134466,0.001485653],"domain_scores_gemma":[0.5592164,0.3747267,0.01156732,0.01572008,0.03528087,0.00348859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002136337,0.001027323,0.008433918,0.01663549,0.001267149,0.0005592981,0.03432192,0.004931871,0.002303338,0.09422477,0.1007637,0.7333948],"study_design_scores_gemma":[0.007652482,0.004867555,0.02076514,0.02532171,0.004259546,0.001295533,0.06251924,0.09967111,0.01183833,0.2907891,0.4696505,0.00136981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03907159,0.0009579494,0.8647406,0.004114074,0.00130124,0.03157122,0.01000181,0.01379622,0.0344453],"genre_scores_gemma":[0.05339365,0.0002909223,0.8836245,0.0005026469,0.00006432802,0.05721232,0.002348614,0.001182912,0.001380215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1379832,"threshold_uncertainty_score":0.7297339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7157988446021767,"score_gpt":0.7807871472186867,"score_spread":0.06498830261651001,"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."}}