{"id":"W2964030803","doi":"10.1007/s10995-019-02806-4","title":"Preconception Care: A Technology-Based Model for Delivery in the Primary Care Setting Supported by Public Health","year":2019,"lang":"en","type":"article","venue":"Maternal and Child Health Journal","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Guelph General Hospital","funders":"UNICEF","keywords":"Medicine; Intervention (counseling); Public health; Family medicine; Population; Primary care; Reproductive health; Health promotion; Health care; Reproductive medicine; Medical record; Nursing; Environmental health; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.008144965,0.0005539714,0.0003575403,0.001261629,0.004640789,0.007368821,0.00290415,0.002920395,0.01183057],"category_scores_gemma":[0.009835005,0.0004981333,0.001116521,0.001424735,0.002241563,0.003485666,0.006828956,0.002888326,0.001905669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01133972,"about_ca_system_score_gemma":0.04005672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02412112,"about_ca_topic_score_gemma":0.03946922,"domain_scores_codex":[0.9901445,0.006372774,0.0004343379,0.0007821329,0.001105469,0.001160717],"domain_scores_gemma":[0.9937875,0.001953901,0.0004291618,0.0007060363,0.000723365,0.002399959],"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":[0.001188199,0.01523831,0.1518512,0.001949768,0.0004231476,0.003853038,0.04111641,0.0132486,0.003240978,0.2201678,0.05481971,0.4929028],"study_design_scores_gemma":[0.003822772,0.02126404,0.2193609,0.00666888,0.0009973547,0.009638661,0.09992787,0.08741232,0.004339831,0.2116769,0.3341106,0.0007799086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4804508,0.002320115,0.1246036,0.1869367,0.001696965,0.009285549,0.00151419,0.001133828,0.1920584],"genre_scores_gemma":[0.8848646,0.001535157,0.09146508,0.007295507,0.0002727949,0.002927438,0.0004397891,0.00007116598,0.01112837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02412112,"threshold_uncertainty_score":0.08227575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667197829080785,"score_gpt":0.2817307716049472,"score_spread":0.2650587933141394,"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."}}