{"id":"W3181757884","doi":"10.3389/fgene.2021.671686","title":"Whole Genome Sequencing Reveals Signatures for Artificial Selection for Different Sizes in Japanese Primitive Dog Breeds","year":2021,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Department of Education of Liaoning Province","keywords":"Biology; Breed; Genome; Gene; Selection (genetic algorithm); Genetics; Candidate gene; Single-nucleotide polymorphism; Evolutionary biology; Genotype","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":[0.0001682991,0.0002111717,0.0003036596,0.00008540491,0.00008928208,0.00003041144,0.0001335643,0.0002232015,0.000001325767],"category_scores_gemma":[0.0001265774,0.0002240993,0.0001215451,0.0001282014,0.00005595235,0.000001094497,0.00008195861,0.00009211124,2.543277e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014089,"about_ca_system_score_gemma":0.0001167422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008144642,"about_ca_topic_score_gemma":0.0003258365,"domain_scores_codex":[0.9986422,0.00006029807,0.0003403857,0.0004785379,0.0000876113,0.0003909659],"domain_scores_gemma":[0.9994707,0.00003272547,0.00008779242,0.0001916223,0.0001655696,0.00005165836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001204409,0.00006970082,0.01831554,0.00006060871,0.00008071546,0.00000133395,0.0004870614,0.004507903,0.9738763,0.00002504821,0.0007216723,0.00173366],"study_design_scores_gemma":[0.002817874,0.001123823,0.1261643,0.0000644627,0.000130608,0.000009293443,0.003957979,0.007527004,0.8314035,0.00690592,0.01884115,0.001054096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742462,0.008155364,0.01589341,0.0001423815,0.0006014034,0.0007173437,0.000183876,0.000003479242,0.00005657189],"genre_scores_gemma":[0.9760125,0.0006162679,0.02195536,0.0001675468,0.0003933828,0.0002296943,0.0002222266,0.00003693667,0.0003660662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1424728,"threshold_uncertainty_score":0.9138504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577518059659095,"score_gpt":0.248990956972902,"score_spread":0.2332157763763111,"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."}}