{"id":"W1968659435","doi":"10.1111/j.1469-1809.2006.00277.x","title":"Quantitative‐trait‐locus Mapping in the Presence of Locus Heterogeneity","year":2006,"lang":"en","type":"article","venue":"Annals of Human Genetics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Locus (genetics); Quantitative trait locus; Genetics; Biology; Trait; Evolutionary biology; Gene; Computer science","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":[0.02501124,0.0005309901,0.001933878,0.0009461918,0.0007614782,0.001841011,0.002294513,0.001553221,0.001609913],"category_scores_gemma":[0.07289267,0.000585365,0.001463247,0.001974176,0.003116013,0.002430168,0.001585674,0.001866454,0.0002371835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007147504,"about_ca_system_score_gemma":0.000743372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002031189,"about_ca_topic_score_gemma":0.00112534,"domain_scores_codex":[0.991546,0.005589909,0.0002589086,0.001279662,0.0009752079,0.0003504341],"domain_scores_gemma":[0.8631232,0.1241467,0.00527611,0.006013526,0.0008552223,0.0005852198],"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":[0.0007666742,0.0001834697,0.1191014,0.0004625507,0.001554269,0.004667222,0.001473209,0.3312758,0.02053298,0.4311435,0.002101772,0.08673719],"study_design_scores_gemma":[0.0001697059,0.0003060038,0.02007578,0.00006154763,0.0002682649,0.001578521,0.000216437,0.4768715,0.003203388,0.4946228,0.002491132,0.000134939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1398204,0.0003463609,0.8565876,0.0006412079,0.0000659183,0.00006677819,0.0002207775,0.0002288771,0.002022074],"genre_scores_gemma":[0.9414228,0.0002583529,0.05675923,0.0002053724,0.00006129126,0.0001386404,0.0001964934,0.00005433778,0.0009034041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02501124,"threshold_uncertainty_score":0.1322737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07396048132801686,"score_gpt":0.3192540708241529,"score_spread":0.245293589496136,"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."}}