{"id":"W3013785529","doi":"10.3310/phr08040","title":"Text messaging to help women with overweight or obesity lose weight after childbirth: the intervention adaptation and SMS feasibility RCT","year":2020,"lang":"en","type":"article","venue":"Public Health Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Public Health Research Programme; Medical Research Council; Public Health Agency; National Institute for Health and Care Research","keywords":"Weight loss; Overweight; Randomized controlled trial; Medicine; Short Message Service; Psychological intervention; Physical therapy; Intervention (counseling); Pedometer; Weight management; Childbirth; Obesity; Gerontology; Pregnancy; Nursing; Physical activity; Surgery; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005118921,0.00101886,0.001166449,0.0008420636,0.0006102005,0.0007129211,0.001033276,0.001625554,0.007603685],"category_scores_gemma":[0.008075807,0.0006698035,0.00152387,0.0006691626,0.0008661473,0.001024357,0.001476803,0.001415455,0.000659575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009636346,"about_ca_system_score_gemma":0.003264537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003711644,"about_ca_topic_score_gemma":0.003751172,"domain_scores_codex":[0.9966876,0.002161723,0.0003164425,0.0001916815,0.0002534009,0.0003891553],"domain_scores_gemma":[0.9975753,0.001387172,0.000379264,0.0002024602,0.0001674249,0.0002883553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.3043714,0.1493282,0.01099679,0.02918667,0.002096532,0.0009381325,0.007512941,0.001146119,0.008710357,0.001128794,0.004562165,0.4800219],"study_design_scores_gemma":[0.5638631,0.3622366,0.05052745,0.002764348,0.002929018,0.0002292818,0.00302736,0.0007312883,0.002067796,0.0006444,0.01086592,0.0001133592],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9278265,0.001911879,0.001540052,0.001018886,0.0004259517,0.06264056,0.0009170886,0.0001505597,0.003568544],"genre_scores_gemma":[0.8608739,0.003634608,0.009727679,0.001155326,0.000427582,0.1205375,0.000425281,0.00002428037,0.003193832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007603685,"threshold_uncertainty_score":0.02707177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3195433602556332,"score_gpt":0.4979669773313479,"score_spread":0.1784236170757147,"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."}}