{"id":"W1787027711","doi":"10.1093/genetics/159.3.1163","title":"Pooling Analysis of Genetic Data: The Association of Leptin Receptor (<i>LEPR</i>) Polymorphisms With Variables Related to Human Adiposity","year":2001,"lang":"en","type":"review","venue":"Genetics","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Institute of Environmental Health Sciences; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; National Center for Research Resources; National Institute of General Medical Sciences","keywords":"Biology; Epistasis; Genetics; Allele; Meta-analysis; Genotype; Imputation (statistics); Genetic association; Allele frequency; Pooling; Missing data; Statistics; Internal medicine; Gene; Medicine; Single-nucleotide polymorphism","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000646174,0.0002961887,0.001247137,0.0003868715,0.0001791393,0.00004689861,0.00119387,0.0002741525,0.0001059973],"category_scores_gemma":[0.0002240604,0.0002112599,0.0002599134,0.003178702,0.00009447865,0.00005071801,0.0003263574,0.0002358939,0.00002030272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039221,"about_ca_system_score_gemma":0.0001485262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006272247,"about_ca_topic_score_gemma":0.0001068524,"domain_scores_codex":[0.9969383,0.0004754408,0.0009828816,0.0006429654,0.0006772962,0.0002830644],"domain_scores_gemma":[0.9964064,0.0004146683,0.001465554,0.001486703,0.0001428691,0.00008376971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001034816,0.001346785,0.04617663,0.006569662,0.01175087,0.00003094794,0.001648783,0.04399274,0.03311881,0.002290278,0.004187724,0.8487833],"study_design_scores_gemma":[0.0003187792,0.0002596621,0.009718539,0.001976118,0.01904927,0.00001128489,0.00001550544,0.0006026587,0.003652271,0.00005334015,0.9636307,0.0007118332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.06202373,0.9320765,0.00129352,0.000142915,0.0002853736,0.00177483,0.001170179,0.00006983908,0.001163072],"genre_scores_gemma":[0.003234122,0.9926713,0.002384187,0.00006566229,0.00008123523,0.0000113263,0.0003007074,0.00004812247,0.001203388],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.959443,"threshold_uncertainty_score":0.8614928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316374474056482,"score_gpt":0.313377016549994,"score_spread":0.2602132718094292,"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."}}