{"id":"W3085790396","doi":"10.2196/18211","title":"The Design of a Randomized Clinical Trial to Evaluate a Pragmatic and Scalable eHealth Intervention for the Management of Gestational Weight Gain in Low-Income Women: Protocol for the SmartMoms in WIC Trial","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"eHealth; Weight management; Medicine; Randomized controlled trial; Pregnancy; Intervention (counseling); Weight gain; mHealth; Physical therapy; Family medicine; Gerontology; Health care; Nursing; Weight loss; Obesity; Psychological intervention","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":[0.04156768,0.006132902,0.008827503,0.002170207,0.003366745,0.003844609,0.003310745,0.008456715,0.0408606],"category_scores_gemma":[0.04509787,0.002958529,0.004872437,0.002632335,0.003825448,0.003524956,0.002182099,0.007710562,0.007286956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004748031,"about_ca_system_score_gemma":0.01761615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486845,"about_ca_topic_score_gemma":0.004003334,"domain_scores_codex":[0.9619861,0.02684436,0.003034516,0.002821116,0.00280345,0.002510601],"domain_scores_gemma":[0.9850308,0.005182393,0.003004655,0.00196318,0.002765213,0.002053763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.878802,0.01972446,0.001216821,0.01839866,0.003559411,0.0003235777,0.0006561625,0.002615043,0.00176992,0.007197085,0.01727847,0.04845842],"study_design_scores_gemma":[0.9548872,0.02503768,0.0009141676,0.001336588,0.0007927896,0.0000407638,0.00007507391,0.001487024,0.0004127266,0.002273025,0.01267025,0.00007262416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002185356,0.0002234902,0.001534217,0.0002159713,0.0003385864,0.9942233,0.0005980302,0.00006293588,0.0006180853],"genre_scores_gemma":[0.001917659,0.00007203639,0.002066029,0.0001416121,0.00003088738,0.9955273,0.00006988175,0.000002596219,0.0001719748],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.04156768,"threshold_uncertainty_score":0.2198336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2773512923219191,"score_gpt":0.5841140375544133,"score_spread":0.3067627452324942,"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."}}