{"id":"W2902142668","doi":"10.1016/j.outlook.2018.08.007","title":"American Academy of Nursing on policy: Reducing preterm births in the United States: Maternal infant health, child, adolescent and family, and women's health expert panels","year":2018,"lang":"en","type":"article","venue":"Nursing Outlook","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Medicine; Nursing; Child health; Family medicine; Infant mortality; Maternal health; Environmental health; Health services; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000521421,0.0002457651,0.0005697373,0.000384217,0.000239192,0.0000341363,0.0001213135,0.00006479358,0.00000309688],"category_scores_gemma":[0.00002151706,0.0001742559,0.00003135825,0.0004056566,0.0006649243,0.00005339268,0.00002085902,0.0004460882,0.000002047794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006953836,"about_ca_system_score_gemma":0.0001813032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006155177,"about_ca_topic_score_gemma":0.000008844769,"domain_scores_codex":[0.9976738,0.0002645768,0.0005478828,0.0003811432,0.0003728868,0.0007597158],"domain_scores_gemma":[0.9990112,0.00004005436,0.0003221634,0.0002020838,0.00003147866,0.000392978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003656156,0.001537897,0.07454614,0.001266826,0.00007268704,0.00001881422,0.4107408,0.00002606208,0.001038821,0.001315849,0.002324174,0.5034558],"study_design_scores_gemma":[0.00186251,0.003369277,0.9599088,0.01561892,0.00001096767,0.0003235331,0.01478478,0.0003550993,0.0004045807,0.0004378397,0.002721433,0.0002022663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9235972,0.0006837409,0.00001449802,0.07458987,0.0001042861,0.0005906445,0.00002319218,0.00003934356,0.0003572376],"genre_scores_gemma":[0.9516695,0.002491207,0.0001669583,0.04521513,0.0003955693,0.000009092347,0.00000880578,0.00002806728,0.00001567833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8853626,"threshold_uncertainty_score":0.9304828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304503897291576,"score_gpt":0.3715222826611371,"score_spread":0.3410718929319795,"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."}}