{"id":"W2984749534","doi":"10.1101/836494","title":"Marker-Trait Complete Analysis","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Ontario Genomics Institute; Cystic Fibrosis Canada; Ontario Genomics; Genome Canada; North Carolina State University; Cystic Fibrosis Foundation","keywords":"Trait; Resampling; Statistic; Permutation (music); Inference; Multiple comparisons problem; Test statistic; Quantitative trait locus; Statistics; Mathematics; Statistical hypothesis testing; Computer science; Biology; Artificial intelligence; Genetics; Gene","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":[0.009843445,0.001579572,0.002539763,0.002395166,0.0007763632,0.002919155,0.002213084,0.001460959,0.01605554],"category_scores_gemma":[0.03085004,0.0007516934,0.00252923,0.00361308,0.001209642,0.00181295,0.002733418,0.002247254,0.005634105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007386555,"about_ca_system_score_gemma":0.001822287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642822,"about_ca_topic_score_gemma":0.001472228,"domain_scores_codex":[0.9909627,0.003988401,0.0003045578,0.003247944,0.001194586,0.0003018657],"domain_scores_gemma":[0.9832044,0.007719529,0.001090776,0.006510167,0.001184257,0.0002909465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001098281,0.0002487072,0.04707173,0.001104759,0.0041705,0.001691262,0.0005071983,0.06650065,0.01454677,0.3246296,0.04681616,0.4916144],"study_design_scores_gemma":[0.0001121566,0.0003114138,0.02966588,0.0001472151,0.0006885593,0.001074939,0.0001114983,0.249559,0.007179039,0.6291366,0.0818426,0.0001711028],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006602102,0.0005438544,0.9839798,0.0005365363,0.0002068278,0.0001101043,0.004067468,0.001484605,0.002468586],"genre_scores_gemma":[0.446998,0.001226174,0.5041856,0.001752633,0.00100186,0.001324832,0.01913705,0.00159778,0.02277615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01605554,"threshold_uncertainty_score":0.05371106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470358186665038,"score_gpt":0.2341476457015886,"score_spread":0.2194440638349382,"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."}}