{"id":"W3163965140","doi":"10.1186/s12978-021-01168-x","title":"Fulfilling the promise of digital health interventions (DHI) to promote women’s sexual, reproductive and mental health in the aftermath of COVID-19","year":2021,"lang":"en","type":"letter","venue":"Reproductive Health","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; University of Toronto","funders":"","keywords":"Reproductive medicine; Reproductive health; Mental health; Public health; Psychological intervention; Coronavirus disease 2019 (COVID-19); Pandemic; Medicine; Environmental health; Psychology; Psychiatry; Population; Nursing; Pregnancy; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01013628,0.0007322308,0.002460966,0.0008584044,0.0004785045,0.00009236387,0.0004843757,0.0002446454,0.00005823823],"category_scores_gemma":[0.005901911,0.0005166074,0.0003374538,0.001880652,0.0006065634,0.0003035802,0.0004045098,0.002433336,0.000008454914],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.0052465,"about_ca_system_score_gemma":0.009067073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002898774,"about_ca_topic_score_gemma":0.0001347225,"domain_scores_codex":[0.9893403,0.002025978,0.002747616,0.003188623,0.001353867,0.001343604],"domain_scores_gemma":[0.9917389,0.0003223343,0.00271145,0.004113199,0.0005269286,0.0005871427],"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":[0.001488079,0.002036025,0.002078484,0.03370034,0.0005756771,0.00005773848,0.1882702,0.00006237323,0.0002249083,0.0000509203,0.7469633,0.02449193],"study_design_scores_gemma":[0.003684032,0.01450966,0.0163777,0.005841111,0.0001145397,0.002674672,0.04459986,0.00001946774,0.0002583054,0.0008073175,0.9101046,0.00100869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08476382,0.009003546,0.0002989994,0.8935208,0.0006129539,0.01079637,0.0009074509,0.00006660212,0.00002946116],"genre_scores_gemma":[0.1260551,0.002677607,0.001466446,0.8556741,0.006486985,0.001741062,0.001920877,0.0003436571,0.003634158],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1631414,"threshold_uncertainty_score":0.9998681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07645119753608197,"score_gpt":0.4056850223777904,"score_spread":0.3292338248417084,"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."}}