{"id":"W2800950148","doi":"10.2196/mhealth.9040","title":"Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study","year":2018,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Breastfeeding Practices and Influences","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Primary Health Care Research Institute, Australian National University; Medical Research Council; Australian Government","keywords":"mHealth; Psychological intervention; Mobile phone; Obesity; Medicine; Key (lock); Environmental health; Internet privacy; Psychology; Computer science; Nursing; Computer security; Telecommunications","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":[0.009068422,0.001225685,0.001616536,0.0007051835,0.001735793,0.0009674739,0.001446096,0.001523503,0.006275761],"category_scores_gemma":[0.01068424,0.0009958119,0.001170773,0.0003037731,0.001593039,0.00123152,0.001077855,0.001967791,0.0007256123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203728,"about_ca_system_score_gemma":0.003777615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785128,"about_ca_topic_score_gemma":0.002339902,"domain_scores_codex":[0.995099,0.002508236,0.0004036012,0.000735708,0.0005722052,0.0006812668],"domain_scores_gemma":[0.9931163,0.003860229,0.0007482781,0.0007778791,0.00057518,0.0009221417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.0495929,0.8749214,0.004841364,0.001306775,0.0002100817,0.00009624537,0.003214346,0.00042995,0.006409809,0.0004148308,0.0008187537,0.05774355],"study_design_scores_gemma":[0.07081631,0.8917871,0.02749809,0.0001759721,0.0003282824,0.00004369187,0.001161701,0.0009139373,0.003751932,0.0004649078,0.002993289,0.00006477051],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805081,0.00009088856,0.0007695251,0.0002005837,0.0001067048,0.01723069,0.0002137325,0.00004414373,0.0008356064],"genre_scores_gemma":[0.8839577,0.0003594242,0.01831612,0.000620225,0.0003521978,0.09259013,0.0003162767,0.00002088808,0.003467198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009068422,"threshold_uncertainty_score":0.04795891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06709668218459297,"score_gpt":0.4362567798889208,"score_spread":0.3691600977043278,"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."}}