{"id":"W4210748789","doi":"10.2196/35320","title":"Lessons Learned Recruiting and Retaining Pregnant and Postpartum Individuals in Digital Trials: Viewpoint","year":2022,"lang":"en","type":"article","venue":"JMIR Pediatrics and Parenting","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institutes of Health","keywords":"Psychological intervention; Clinical trial; Breastfeeding; Medicine; Postpartum depression; Digital health; Psychology; Nursing; Health care; Pregnancy; Political science; Pediatrics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005441749,0.0001764989,0.0005182103,0.0002810468,0.002107619,0.00006837546,0.00009329771,0.0001168171,0.00006673436],"category_scores_gemma":[0.001515488,0.0001722499,0.00003599809,0.0004306596,0.00003723771,0.0001591297,0.0004404522,0.001032093,0.000003401367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006750436,"about_ca_system_score_gemma":0.0003533848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008362322,"about_ca_topic_score_gemma":0.00003937336,"domain_scores_codex":[0.9966183,0.0006665337,0.001241494,0.0005101061,0.0002456057,0.0007179304],"domain_scores_gemma":[0.9961476,0.002500674,0.0007796893,0.0001779372,0.00005759574,0.0003364731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003561853,0.00005369497,0.776925,0.00104678,0.000005369686,0.000004305135,0.005132338,0.000004187666,0.00000751024,0.00461961,0.0007242319,0.2114414],"study_design_scores_gemma":[0.006298129,0.0005339256,0.4957571,0.001062733,0.0001451163,0.00004289508,0.04794728,0.002145067,0.0000021035,0.01447287,0.4305344,0.001058375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795239,0.008152938,0.00003969845,0.006391135,0.0002351333,0.00372179,0.0002493384,0.00007667313,0.001609376],"genre_scores_gemma":[0.9856179,0.006433744,0.0001859864,0.0007296455,0.0003465171,0.006322999,0.0001102789,0.00003049023,0.0002224039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4298102,"threshold_uncertainty_score":0.9991915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2035488769323604,"score_gpt":0.4692420609986271,"score_spread":0.2656931840662667,"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."}}