{"id":"W2888984599","doi":"10.2196/11740","title":"First 28: Design of a Mobile App for Neonatal Health Risk Assessment and Support for New Mothers","year":2018,"lang":"en","type":"article","venue":"Iproceedings","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breastfeeding; Psychological intervention; Medicine; Infant mortality; Health care; Nursing; Resource (disambiguation); Environmental health; Family medicine; Pediatrics; Economic growth; Population; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001945806,0.0001970617,0.000470023,0.0001252342,0.001632783,0.00001032025,0.0001835641,0.0001974643,0.0001617451],"category_scores_gemma":[0.0002183483,0.0001843355,0.00006566713,0.00020136,0.0001186286,0.0001308585,0.00005250841,0.000259936,0.00002084557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002233168,"about_ca_system_score_gemma":0.002507709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006474524,"about_ca_topic_score_gemma":0.0001194993,"domain_scores_codex":[0.9975025,0.00003717932,0.0009208856,0.0004763262,0.0001831467,0.0008799841],"domain_scores_gemma":[0.9969344,0.000819578,0.000853234,0.0002137029,0.0004928135,0.0006862847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001056364,0.0002050006,0.01859188,0.008395938,0.00006692511,1.030685e-7,0.01820676,0.00001759551,0.0001706011,0.02567707,0.701951,0.2256608],"study_design_scores_gemma":[0.003681559,0.003248203,0.003580842,0.000224508,0.00004313845,0.000002287067,0.00277866,0.005062305,0.00006543173,0.006340539,0.9747683,0.0002042361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01395814,0.0008033486,0.9339104,0.009156872,0.0008298705,0.03879917,0.0007368602,0.0003606805,0.001444623],"genre_scores_gemma":[0.3193001,0.003591134,0.5512507,0.01373863,0.003684978,0.09980359,0.0001747219,0.0002815659,0.008174535],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3826597,"threshold_uncertainty_score":0.9996669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06309246327990206,"score_gpt":0.4439032168083518,"score_spread":0.3808107535284497,"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."}}