{"id":"W2626120835","doi":"10.1093/database/bax048","title":"PigVar: a database of pig variations and positive selection signatures","year":2017,"lang":"en","type":"article","venue":"Database","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Selection (genetic algorithm); Database; Computer science; Information retrieval; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015282,0.0000911182,0.00008244991,0.0000228283,0.0002081111,0.00002334465,0.0001652429,0.00006300759,0.00002623377],"category_scores_gemma":[0.0002057627,0.0000881305,0.00002295257,0.00001978087,0.0001177531,0.00001020978,0.0001760236,0.000068628,0.000002531035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000256578,"about_ca_system_score_gemma":0.00004628618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001554039,"about_ca_topic_score_gemma":0.00009155973,"domain_scores_codex":[0.9994366,0.00003379905,0.0001057572,0.0002408374,0.000071997,0.0001110695],"domain_scores_gemma":[0.9992756,0.00001879385,0.0001052541,0.0004781828,0.00006306529,0.00005905127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001840058,0.0001868648,0.01146297,0.00005366204,0.0001172899,0.000001369978,0.0001114605,0.00005137086,0.944718,0.03347207,0.006948129,0.002692803],"study_design_scores_gemma":[0.001233961,0.0005162929,0.7444906,0.00006932097,0.0001267938,0.00002275682,0.00005018619,0.0001829299,0.245722,0.0009178823,0.006313624,0.0003537106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056377,0.0008853086,0.08555085,0.0001969992,0.0002328569,0.0003044822,0.005095296,0.00001184658,0.002084689],"genre_scores_gemma":[0.971545,0.00006144994,0.02648678,0.00007959647,0.0001467101,0.000008061464,0.001471456,0.000009288264,0.0001917058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7330276,"threshold_uncertainty_score":0.3593858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137428249328636,"score_gpt":0.2650252092062056,"score_spread":0.2536509267129193,"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."}}