{"id":"W4394710786","doi":"10.1371/journal.pone.0299395","title":"Exploring gestational age, and birth weight assessment in Thatta district, Sindh, Pakistan: Healthcare providers’ knowledge, practices, perceived barriers, and the potential of a mobile app for identifying preterm and low birth weight","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Maternal and Neonatal Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Referral; Medicine; Low birth weight; Family medicine; Gestational age; Birth weight; Best practice; Nursing; Obstetrics; Pregnancy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001721021,0.0001884131,0.0002627985,0.0003957573,0.002502201,0.0008768556,0.0004617782,0.0005184824,0.002476734],"category_scores_gemma":[0.004318315,0.0003482654,0.000170497,0.0006007931,0.001086338,0.0009869048,0.001127183,0.0008269866,0.0001646153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001767173,"about_ca_system_score_gemma":0.005059281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03430255,"about_ca_topic_score_gemma":0.04586338,"domain_scores_codex":[0.9990947,0.0003566768,0.00006509471,0.00007727203,0.0001312233,0.0002749533],"domain_scores_gemma":[0.9972133,0.001490818,0.0005787882,0.00005041586,0.0002221147,0.0004446353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001176422,0.0003867631,0.5615188,0.001334067,0.00002192972,0.006518659,0.3857335,0.0001243053,0.001722067,0.0004921313,0.002390983,0.03963915],"study_design_scores_gemma":[0.00001686252,0.0006523572,0.272467,0.0007918722,0.00002861941,0.002362171,0.717769,0.0001972718,0.0003792723,0.0002119319,0.005086498,0.00003713841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975315,0.0003349707,0.0000785461,0.001038887,0.000009653971,0.00004650087,0.00007224057,0.000001868964,0.0008858315],"genre_scores_gemma":[0.998072,0.0008658371,0.0003065614,0.0003713076,0.000006993071,0.00005588369,0.0000336905,0.000001167067,0.0002865228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03430255,"threshold_uncertainty_score":0.06820571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1295027331724089,"score_gpt":0.4019043341009241,"score_spread":0.2724016009285153,"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."}}