{"id":"W6929677243","doi":"10.5061/dryad.0h2g0","title":"Data from: SNPs across time and space: population genomic signatures of founder events and epizootics in the House Finch (Haemorhous mexicanus)","year":2016,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Founder effect; Linkage disequilibrium; Natural selection; Population; Single-nucleotide polymorphism; Population genetics; Population genomics; Selection (genetic algorithm); Genome","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":[0.001799935,0.001327164,0.00121774,0.002063954,0.0007679244,0.001858726,0.002363505,0.001571436,0.01968481],"category_scores_gemma":[0.004810686,0.000745176,0.000919937,0.003485068,0.0005126332,0.001039586,0.002530982,0.001736718,0.01612598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001132867,"about_ca_system_score_gemma":0.001941669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03492464,"about_ca_topic_score_gemma":0.07045493,"domain_scores_codex":[0.9990626,0.0001525415,0.0001314691,0.0003052694,0.0002222632,0.0001259351],"domain_scores_gemma":[0.9981984,0.0004609881,0.0003844624,0.0003983535,0.0003109842,0.0002467833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003737293,0.00009257005,0.02059404,0.002067258,0.0002623753,0.0001876519,0.0003833627,0.001782432,0.002172374,0.001801315,0.9621121,0.008170759],"study_design_scores_gemma":[0.0009675275,0.00005369013,0.08387824,0.0005303844,0.0001553614,0.0002394208,0.0003202611,0.001876045,0.002070062,0.003813433,0.9059767,0.0001188917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001235717,0.00008730179,0.000227012,0.0001027866,0.00002188115,0.00001143066,0.9974782,0.0004031519,0.0004325141],"genre_scores_gemma":[0.00191294,0.00005031798,0.0006665599,0.00003996864,0.000004956696,0.00005849727,0.9968029,0.00009476048,0.0003690816],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03492464,"threshold_uncertainty_score":0.06944269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.033794120643322,"score_gpt":0.3019425876042426,"score_spread":0.2681484669609206,"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."}}