{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000906663,0.0002276805,0.0004756454,0.0001881194,0.0006157589,0.00008277962,0.0001219603,0.0001218571,0.00005188153],"category_scores_gemma":[0.0001665721,0.000164329,0.0000438428,0.0001906005,0.0001824183,0.0005868282,0.0001949276,0.0006812879,0.000002247849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461152,"about_ca_system_score_gemma":0.000522683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375661,"about_ca_topic_score_gemma":0.00104262,"domain_scores_codex":[0.9974034,0.0005564335,0.0007005397,0.0005209974,0.000378688,0.0004399438],"domain_scores_gemma":[0.9974468,0.001568038,0.0003658642,0.0001953515,0.0001807968,0.0002431407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.006952302,0.001641938,0.3196314,0.3828908,0.001505051,0.0005519605,0.1761695,0.000005219292,0.008021813,0.02650588,0.0004370142,0.07568721],"study_design_scores_gemma":[0.01323216,0.001312085,0.8687793,0.02768811,0.0006157629,0.00005185549,0.04682646,0.02507843,0.0006073421,0.007944378,0.006727157,0.001136938],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776937,0.01553597,0.0001005637,0.002630084,0.0002543045,0.003088587,0.0005559277,0.00006232083,0.00007850987],"genre_scores_gemma":[0.9862901,0.009831453,0.0009127769,0.0001001491,0.0002223316,0.001943075,0.0000688695,0.00004262556,0.000588618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.549148,"threshold_uncertainty_score":0.6701143,"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."}}