{"id":"W1513513040","doi":"10.2196/mhealth.4071","title":"Development and Pilot Testing of the Eating4two Mobile Phone App to Monitor Gestational Weight Gain","year":2015,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Canberra","keywords":"Weight gain; mHealth; Psychological intervention; Pregnancy; Focus group; Medicine; Mobile phone; Phone; Body mass index; Multimedia; Computer science; Medical education; Nursing; Body weight; Internal medicine","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":[0.005533596,0.0009315557,0.000460393,0.0006727707,0.0004591387,0.0009674476,0.001718401,0.001109945,0.004787107],"category_scores_gemma":[0.01072302,0.0004431754,0.0005768921,0.0001840209,0.0006191136,0.001321265,0.001349304,0.001011509,0.001286574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004229546,"about_ca_system_score_gemma":0.001292451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468335,"about_ca_topic_score_gemma":0.001774317,"domain_scores_codex":[0.9979875,0.0009210169,0.0001647164,0.00025916,0.0004123033,0.0002551991],"domain_scores_gemma":[0.9939272,0.003712793,0.0001636828,0.0002497617,0.001527324,0.0004192894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004843493,0.02769187,0.05169415,0.00533977,0.000299701,0.007021125,0.04767409,0.004474687,0.08310279,0.002744561,0.02872972,0.736384],"study_design_scores_gemma":[0.007448458,0.1612711,0.2587042,0.006193193,0.001440464,0.01374775,0.04580034,0.07826546,0.158964,0.004940572,0.2623717,0.0008526975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9140782,0.00036422,0.04239376,0.001068278,0.0003091921,0.02871888,0.000927474,0.002592081,0.00954797],"genre_scores_gemma":[0.6961687,0.0008248326,0.2594084,0.001765987,0.0001083132,0.0247454,0.001733426,0.000414289,0.01483054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005533596,"threshold_uncertainty_score":0.02926475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09775354402136666,"score_gpt":0.3881365604574279,"score_spread":0.2903830164360612,"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."}}