{"id":"W2052926134","doi":"10.1159/000081447","title":"A Note on Inference of Trait Associations with SNP Haplotypes and Other Attributes in Generalized Linear Models","year":2004,"lang":"en","type":"article","venue":"Human Heredity","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; St. Paul's Hospital","funders":"","keywords":"Inference; Haplotype; Trait; SNP; Heredity; Biology; Genetics; Single-nucleotide polymorphism; Statistics; Mathematics; Genotype; Computer science; Artificial intelligence; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.06619267,0.002293756,0.003683834,0.001700101,0.001657575,0.003076307,0.005737989,0.003984832,0.003753391],"category_scores_gemma":[0.2231083,0.001948073,0.004143244,0.003662337,0.006617815,0.009553234,0.004391413,0.01642402,0.001798563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489432,"about_ca_system_score_gemma":0.002152934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0179726,"about_ca_topic_score_gemma":0.02065946,"domain_scores_codex":[0.9586096,0.03381785,0.001260169,0.002792878,0.003077589,0.0004419362],"domain_scores_gemma":[0.7036878,0.2721206,0.002171292,0.01718666,0.004028548,0.0008050568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000567059,0.0001583465,0.0121587,0.001207778,0.002358879,0.001753035,0.001366073,0.1901478,0.003267852,0.388411,0.05249785,0.3461055],"study_design_scores_gemma":[0.0001170677,0.0001270086,0.003095956,0.0002598951,0.0002344421,0.0005203736,0.0001150512,0.3172863,0.002384549,0.6410386,0.03452913,0.0002915601],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001582477,0.002434383,0.9835778,0.01028122,0.0006711675,0.00002266721,0.0001460167,0.0005180157,0.000766277],"genre_scores_gemma":[0.04392749,0.004012114,0.9387271,0.00546408,0.002895332,0.0001452598,0.0003674812,0.0008139444,0.003647274],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06619267,"threshold_uncertainty_score":0.3500645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05960217394120892,"score_gpt":0.2892539870735163,"score_spread":0.2296518131323074,"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."}}