{"id":"W4285019061","doi":"10.1177/08445621221112668","title":"Validating PreCHAT: A Digital Preconception Health Risk Assessment Tool to Improve Reproductive, Maternal and Child Health","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Nursing Research","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; Public Health Agency of Canada; Public Health Ontario; University of Toronto; Guelph General Hospital","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Reproductive health; Risk assessment; Maternal health; Environmental health; Medicine; Risk analysis (engineering); Psychology; Computer science; Health services; Computer security; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01722108,0.0005408458,0.0004138625,0.001815423,0.001187234,0.001220163,0.001089047,0.0004728695,0.004329466],"category_scores_gemma":[0.0383081,0.0003230282,0.0007539532,0.001477344,0.0008923409,0.0007074454,0.00174352,0.0005401045,0.000565429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006773776,"about_ca_system_score_gemma":0.02534769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.258008,"about_ca_topic_score_gemma":0.4356854,"domain_scores_codex":[0.9883641,0.004194674,0.001239502,0.0008256022,0.004773289,0.0006027794],"domain_scores_gemma":[0.952556,0.0182633,0.005358387,0.003003605,0.0185923,0.002226437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007682245,0.0007827641,0.7499748,0.0008035369,0.0001834045,0.000202266,0.005166726,0.001244585,0.001475587,0.0007596359,0.01257003,0.2260684],"study_design_scores_gemma":[0.0003104527,0.0009975141,0.9602723,0.0007123628,0.0001911074,0.0003354518,0.003030298,0.004996967,0.002365693,0.0004354838,0.02626631,0.00008615543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381531,0.0009499075,0.01442533,0.001806395,0.000152633,0.007824912,0.009804231,0.0006933701,0.0261901],"genre_scores_gemma":[0.93181,0.0007117985,0.05562463,0.0004613902,0.0000544719,0.003871076,0.003917973,0.00005538953,0.003493202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.258008,"threshold_uncertainty_score":0.5130125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05907285014538263,"score_gpt":0.4276645893388509,"score_spread":0.3685917391934682,"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."}}