{"id":"W1583028188","doi":"","title":"Regression analysis for longitudinal hemoglobin data for premature infants with outcomes subject to non-response","year":2002,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Iron Metabolism and Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Covariate; Longitudinal study; Longitudinal data; Missing data; Hemoglobin; Medicine; Regression analysis; Psychology; Developmental psychology; Statistics; Pediatrics; Demography; Mathematics; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03948755,0.001408943,0.002127844,0.003197233,0.0007221393,0.0009066932,0.00208978,0.0008799814,0.0114603],"category_scores_gemma":[0.1316268,0.0005945193,0.003672882,0.003897226,0.0006051138,0.001446701,0.001154582,0.003097158,0.002165559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006155111,"about_ca_system_score_gemma":0.001970676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005254637,"about_ca_topic_score_gemma":0.003818324,"domain_scores_codex":[0.968543,0.02457627,0.001556603,0.002271957,0.002226527,0.0008256634],"domain_scores_gemma":[0.9044834,0.07930615,0.003406039,0.008432308,0.003992688,0.0003794475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006850476,0.001517729,0.3191939,0.001877405,0.009508383,0.002975761,0.002588411,0.03710963,0.01225718,0.02630574,0.02287441,0.556941],"study_design_scores_gemma":[0.0005425763,0.005135457,0.4207602,0.0005753633,0.003620266,0.002895666,0.0021646,0.47734,0.01218059,0.02547478,0.04895797,0.0003525077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2506726,0.002048607,0.7304974,0.0007895008,0.0005946815,0.001618002,0.007545394,0.002396336,0.003837545],"genre_scores_gemma":[0.6212715,0.001419464,0.3477331,0.0002781991,0.0001948125,0.004839817,0.008005351,0.001475259,0.01478244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03948755,"threshold_uncertainty_score":0.2088326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04486694855961176,"score_gpt":0.3266254569061449,"score_spread":0.2817585083465331,"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."}}