{"id":"W1491536659","doi":"10.1023/a:1009530902429","title":"Measurement Error in Prenatal Care Utilization: Evidence of Attenuation Bias in the Estimation of Impact on Birth Weight","year":2000,"lang":"en","type":"article","venue":"Maternal and Child Health Journal","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal General Hospital","funders":"","keywords":"Prenatal care; Birth certificate; Medicine; Birth weight; Information bias; Selection bias; Estimation; Health care; Pregnancy; Demography; Obstetrics; Statistics; Environmental health; Population; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3264181,0.002180707,0.002400313,0.003251256,0.001691164,0.004007001,0.005719363,0.003812003,0.003572213],"category_scores_gemma":[0.7209319,0.001876734,0.005084461,0.005002239,0.007558511,0.002859437,0.006041804,0.004409387,0.0006733005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00226197,"about_ca_system_score_gemma":0.00330498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0301309,"about_ca_topic_score_gemma":0.01165823,"domain_scores_codex":[0.5415843,0.3679389,0.03218227,0.02540722,0.02893693,0.003950283],"domain_scores_gemma":[0.09936701,0.7654529,0.04406778,0.07706556,0.01329841,0.0007484285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002460676,0.0002971022,0.8976422,0.001404387,0.01633701,0.0002908041,0.00576308,0.005714686,0.0004752399,0.01047688,0.00243629,0.05670156],"study_design_scores_gemma":[0.001091903,0.001424017,0.8995486,0.002008047,0.01577044,0.001756783,0.002012746,0.02837039,0.004982812,0.03003844,0.01263807,0.0003576388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6192293,0.0248565,0.3134632,0.01340624,0.002113224,0.00179227,0.004914034,0.0009477237,0.0192775],"genre_scores_gemma":[0.9762239,0.001029515,0.01814989,0.001724905,0.0003559702,0.0003339065,0.0008794153,0.0001801031,0.001122394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3264181,"threshold_uncertainty_score":0.8306464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07349847441148609,"score_gpt":0.3599267011837686,"score_spread":0.2864282267722825,"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."}}