{"id":"W2398157737","doi":"10.2196/mhealth.5197","title":"Impact of an mHealth Platform for Pregnancy on Nutrition and Lifestyle of the Reproductive Population: A Survey","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Erasmus Universitair Medisch Centrum Rotterdam; Achmea","keywords":"Pregnancy; mHealth; Medicine; Overweight; Psychological intervention; Body mass index; Population; Health coaching; Fertility; Demography; Gerontology; Environmental health; Nursing; Randomized controlled trial; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007118513,0.00009565204,0.0002599634,0.0001132444,0.0001084163,0.000004164954,0.00004481504,0.00004639859,0.000006192914],"category_scores_gemma":[0.0003400415,0.00005152678,0.00004398578,0.0001521884,0.00007526358,0.000104443,0.0000208428,0.00007401138,3.334348e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133866,"about_ca_system_score_gemma":0.0003019375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046655,"about_ca_topic_score_gemma":0.000167416,"domain_scores_codex":[0.9987546,0.0001131396,0.0003248701,0.0002694839,0.0002509333,0.0002869387],"domain_scores_gemma":[0.9987426,0.0002391024,0.0002321605,0.0002756993,0.0002120349,0.0002983714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003927601,0.001405842,0.7976332,0.01106685,0.00006310809,6.941476e-7,0.0007045256,0.000002164552,0.0001810685,0.003848785,0.001237711,0.1799285],"study_design_scores_gemma":[0.002440688,0.004326534,0.9908815,0.0007088893,0.00001844758,0.000002852515,0.00005531015,0.00005586508,0.00005327123,0.001361398,0.00005146108,0.00004376808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950206,0.0004721245,0.00002557255,0.001947083,0.00003980294,0.002147833,0.0002962791,0.000009039698,0.00004168119],"genre_scores_gemma":[0.9981268,0.001063718,0.0003039921,0.0001109302,0.00007345287,0.000120435,0.0000928745,0.00001099844,0.00009678611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1932484,"threshold_uncertainty_score":0.2101201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09277662665677563,"score_gpt":0.436392509640487,"score_spread":0.3436158829837114,"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."}}