{"id":"W127723964","doi":"10.26719/1995.1.2.194","title":"Low birth weight in Lebanon: a morphological parameter and a health status indicator","year":2021,"lang":"en","type":"article","venue":"Eastern Mediterranean Health Journal","topic":"Birth, Development, and Health","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Birth weight; Incidence (geometry); Quarter (Canadian coin); Demography; Medicine; Gestation; Low birth weight; Birth records; Obstetrics; Biometric data; Birth rate; Pregnancy; Pediatrics; Biometrics; Geography; Population; Environmental health; Fertility; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002221732,0.0003608493,0.001143999,0.0004928922,0.0003373551,0.00008947535,0.0001348872,0.0002160703,0.0007248201],"category_scores_gemma":[0.0001577483,0.0002896523,0.0001158097,0.0004135235,0.0001282888,0.0001676004,0.00009011842,0.001897037,0.00007007384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006526072,"about_ca_system_score_gemma":0.005414863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001007496,"about_ca_topic_score_gemma":0.0002999551,"domain_scores_codex":[0.9948467,0.0005957201,0.001502273,0.0006198978,0.0008511606,0.001584242],"domain_scores_gemma":[0.9960041,0.00009572822,0.0006126294,0.0003300242,0.0001093538,0.002848186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006796335,0.001021254,0.6909378,0.002345142,0.00009923954,0.005395631,0.01356513,8.250216e-7,0.00006720945,0.0002676067,0.01238987,0.2732306],"study_design_scores_gemma":[0.01209751,0.002926592,0.9332412,0.002850001,0.00001962421,0.0231885,0.002113263,0.0004891409,0.00007845462,0.001807109,0.0206909,0.0004976783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8903787,0.01764059,0.0008672357,0.08837394,0.001624389,0.0007307734,0.0000306575,0.00006471486,0.0002890256],"genre_scores_gemma":[0.8048084,0.1283541,0.008547583,0.05649727,0.001502385,0.00002269279,0.00006795671,0.00006220815,0.0001374263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2727329,"threshold_uncertainty_score":0.9999555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701222246889993,"score_gpt":0.3430855789430402,"score_spread":0.2729633542540409,"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."}}