{"id":"W6969757922","doi":"10.5683/sp2/9c9gic","title":"Data from: Stark sexual display divergence among jumping spider populations in the face of gene flow","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gene flow; Sexual selection; Divergence (linguistics); Genetic divergence; Selection (genetic algorithm); Reproductive isolation; Population; Genetic algorithm; Ecological speciation","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":[0.001798669,0.001004606,0.001184256,0.002606199,0.0009150949,0.001645682,0.001801015,0.001451331,0.02092713],"category_scores_gemma":[0.00596458,0.0003908985,0.0007982711,0.003903874,0.0004016529,0.0007532201,0.001407334,0.001064494,0.01930798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007810784,"about_ca_system_score_gemma":0.001109089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056194,"about_ca_topic_score_gemma":0.04720917,"domain_scores_codex":[0.9989542,0.0002416585,0.0001335604,0.0003541572,0.0001924517,0.0001239408],"domain_scores_gemma":[0.9975789,0.0009734839,0.00035328,0.0004572615,0.0004398721,0.0001972091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0007203727,0.0001452473,0.04698872,0.003918846,0.0005783297,0.0003323292,0.0003108486,0.002157666,0.001666193,0.001130597,0.9302259,0.01182496],"study_design_scores_gemma":[0.0007317867,0.00008072571,0.1260502,0.0005295133,0.0002347481,0.000401073,0.0004262401,0.001369521,0.001110443,0.001280828,0.8676909,0.00009403256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003425301,0.0002083478,0.0001286408,0.00007887151,0.00002460843,0.00001130034,0.9952123,0.0001794562,0.0007311584],"genre_scores_gemma":[0.004079652,0.00005351998,0.0004278225,0.00003675036,0.000006947642,0.00005636289,0.9948819,0.00003464548,0.0004224825],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02092713,"threshold_uncertainty_score":0.07000822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234658160629714,"score_gpt":0.3472675437818646,"score_spread":0.2238017277188932,"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."}}