{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002073226,0.0002735691,0.0002788396,0.00112643,0.0008695166,0.002054575,0.0004933444,0.0007005993,0.01758883],"category_scores_gemma":[0.01415654,0.0001834306,0.0004183829,0.0007134094,0.0004696012,0.003659725,0.003705751,0.0006684634,0.001834495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004093301,"about_ca_system_score_gemma":0.0009563713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009108568,"about_ca_topic_score_gemma":0.002452398,"domain_scores_codex":[0.9991567,0.0003892586,0.00009245253,0.00007197999,0.0001612307,0.0001283832],"domain_scores_gemma":[0.9935825,0.00401142,0.0008911942,0.0003714364,0.0004186183,0.0007247859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002514808,0.0005348274,0.08432993,0.002027546,0.00008896091,0.0005930739,0.006689036,0.00009896795,0.000996537,0.002981609,0.02529333,0.8761147],"study_design_scores_gemma":[0.0002790071,0.002689061,0.3734256,0.01148434,0.0004832198,0.004469786,0.05226595,0.000950245,0.001664703,0.01962822,0.5325458,0.000114022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7875359,0.02004393,0.006495092,0.07467614,0.001237017,0.0006803271,0.003124688,0.0004805378,0.1057265],"genre_scores_gemma":[0.9553803,0.01511548,0.01184068,0.007215895,0.0008023596,0.0005769097,0.001111349,0.00005154007,0.007905453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01758883,"threshold_uncertainty_score":0.05884045,"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."}}