{"id":"W2977988738","doi":"10.2196/15207","title":"Digital Tools Fill a Gap in Mental Health Screening and Support, Particularly for Women Lacking Strong Social Networks","year":2019,"lang":"en","type":"article","venue":"Iproceedings","topic":"Maternal Mental Health During Pregnancy and Postpartum","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Social support; Edinburgh Postnatal Depression Scale; Medicine; Depression (economics); Marital status; Psychiatry; Postpartum depression; Social stigma; Family medicine; Psychology; Pregnancy; Population; Environmental health; Anxiety; Depressive symptoms; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003154409,0.000146818,0.0003272481,0.00006596927,0.0001362952,0.0001145644,0.00005098102,0.00007332216,0.00004576536],"category_scores_gemma":[0.00002019722,0.0001414056,0.00004642334,0.00008302136,0.00002935449,0.0004366772,0.00005464875,0.000181228,0.000006386686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000149114,"about_ca_system_score_gemma":0.00005048575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001360897,"about_ca_topic_score_gemma":0.00000214937,"domain_scores_codex":[0.998595,0.000006181469,0.0003264365,0.0002729972,0.00016802,0.0006313401],"domain_scores_gemma":[0.9995624,0.0000354625,0.0001237072,0.00004965665,0.00002819033,0.0002005825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003716429,0.0002929879,0.8643224,0.01109399,0.0001063319,0.00002582495,0.02674223,0.00001103606,0.0002202362,0.002104992,0.001761643,0.08960195],"study_design_scores_gemma":[0.03472065,0.01116504,0.7988663,0.0212607,0.00006607006,0.0005816714,0.0214772,0.01688541,0.00100501,0.0008065191,0.09127373,0.001891709],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943084,0.0002127935,0.00009888523,0.001693592,0.0001545248,0.001059309,0.00004052844,0.00004891861,0.002383062],"genre_scores_gemma":[0.9962972,0.00003148384,0.0001791744,0.001071897,0.0001809655,0.00009111399,0.00004832078,0.00002636427,0.002073481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08951208,"threshold_uncertainty_score":0.5766351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765075774806612,"score_gpt":0.310164129330692,"score_spread":0.2725133715826258,"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."}}