{"id":"W2907338658","doi":"10.1016/j.dib.2018.12.085","title":"Knowledge translation dataset: An e-health intervention for pregnancy in inflammatory bowel disease","year":2018,"lang":"en","type":"article","venue":"Data in Brief","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"MacEwan University; Crohn's and Colitis Canada; University of Alberta; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Demographics; Inflammatory bowel disease; Context (archaeology); Medicine; Disease; Reproductive health; Pregnancy; Cohort; Intervention (counseling); Knowledge translation; Family medicine; Internal medicine; Computer science; Environmental health; Demography; Knowledge management; Nursing; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002169452,0.0007595714,0.0007468798,0.001412798,0.001032427,0.001118104,0.001395071,0.002689466,0.01392442],"category_scores_gemma":[0.01660642,0.0002782123,0.001088602,0.001763803,0.0004327971,0.0006963481,0.001847206,0.001428424,0.008071939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005554,"about_ca_system_score_gemma":0.0018399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279783,"about_ca_topic_score_gemma":0.02792205,"domain_scores_codex":[0.9983094,0.0008751518,0.0002026476,0.0002253955,0.000246331,0.0001410661],"domain_scores_gemma":[0.9934382,0.003737656,0.0005536172,0.001035854,0.0007752838,0.0004593194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005399164,0.003424258,0.0623923,0.008063296,0.0008077107,0.0007708324,0.001194911,0.003217341,0.002099999,0.001889488,0.8167468,0.09399384],"study_design_scores_gemma":[0.006256877,0.00279972,0.2194269,0.002512284,0.001093901,0.0009496413,0.002921912,0.007412087,0.004454504,0.005107718,0.7467138,0.0003507014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.03210839,0.0005725055,0.001069733,0.001499977,0.0001791058,0.001027594,0.9585896,0.0007227775,0.004230362],"genre_scores_gemma":[0.03803122,0.0003413182,0.006892487,0.0009151858,0.00008366772,0.0052107,0.9458761,0.00007968963,0.002569619],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01392442,"threshold_uncertainty_score":0.0465818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127137653876269,"score_gpt":0.4266347657142924,"score_spread":0.2994971118380234,"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."}}