{"id":"W3023850649","doi":"10.1111/mec.15461","title":"The genetic basis of animal behavioural diversity in natural populations","year":2020,"lang":"en","type":"review","venue":"Molecular Ecology","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology; Genome-wide association study; Quantitative trait locus; Trait; Candidate gene; Genetic architecture; Evolutionary biology; Genetic association; Genetics; Quantitative genetics; Genomics; Genetic diversity; Genetic variation; Computational biology; Genome; Gene; Population; Single-nucleotide polymorphism; Genotype; Demography","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":[0.005683923,0.0004203147,0.001211335,0.002656779,0.0004634954,0.001443106,0.0008176764,0.0007874217,0.00116093],"category_scores_gemma":[0.007580903,0.0003552916,0.001757399,0.003042865,0.001511051,0.0009102426,0.00119541,0.0008396391,0.0001549546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000394919,"about_ca_system_score_gemma":0.0004788337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596199,"about_ca_topic_score_gemma":0.005255804,"domain_scores_codex":[0.9942688,0.002681515,0.0004453144,0.001861255,0.0005582139,0.0001848404],"domain_scores_gemma":[0.9925789,0.004578745,0.001277381,0.0009527497,0.0004300043,0.0001822028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003795118,0.00005703874,0.8642865,0.002859739,0.02700442,0.0006500156,0.001706093,0.001936142,0.01466894,0.004256459,0.0008434886,0.08135147],"study_design_scores_gemma":[0.00001305779,0.00007552728,0.9900957,0.0002263489,0.002460817,0.0002407843,0.0004229089,0.0007671231,0.0003831092,0.003383773,0.001899233,0.0000315756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.8894512,0.07863759,0.02202626,0.001979702,0.0002103682,0.00008218487,0.002671402,0.0001623133,0.00477897],"genre_scores_gemma":[0.9870969,0.007191751,0.00429842,0.0003646938,0.0000627319,0.00004752031,0.0007253989,0.00003258124,0.0001799922],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005683923,"threshold_uncertainty_score":0.03005987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372576000608025,"score_gpt":0.2911240554452668,"score_spread":0.2538664553844643,"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."}}