{"id":"W6951075220","doi":"10.5683/sp2/aojhqn","title":"Data from: Genetic evidence for ecological divergence in kokanee salmon","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":"Ecotype; Outlier; Selection (genetic algorithm); Genetic structure; Natural selection; DNA sequencing; Genetic diversity; Habitat; Genetic divergence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005536131,0.0001276994,0.000202867,0.0008732487,0.000682725,0.0004695408,0.0002909717,0.0002672305,0.002556378],"category_scores_gemma":[0.001435266,0.0001514899,0.0002233655,0.001492923,0.0003812901,0.00015506,0.0005263313,0.0003614472,0.0003480061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430328,"about_ca_system_score_gemma":0.0006214387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03169885,"about_ca_topic_score_gemma":0.09957634,"domain_scores_codex":[0.9994605,0.00005349965,0.00008889841,0.0001713157,0.000150568,0.00007523687],"domain_scores_gemma":[0.998519,0.0003105974,0.0003664895,0.0001687214,0.0004692142,0.0001659419],"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":[0.0004804085,0.00004926313,0.940655,0.00006938348,0.0001579404,0.0001487518,0.0008684266,0.0001885495,0.05164782,0.000122977,0.0003066904,0.005304757],"study_design_scores_gemma":[0.00001549777,0.00004170223,0.996612,0.000009461552,0.00003882137,0.00008654065,0.0004228394,0.0002037723,0.001477627,0.00003520896,0.001047114,0.000009287233],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9972776,0.0000221234,0.000365569,0.00001504192,0.000002643403,0.0000102782,0.001703609,0.00001069909,0.0005925234],"genre_scores_gemma":[0.9940706,0.00002583859,0.001093925,0.00005173997,0.000002632386,0.00003772986,0.004274251,0.00001538592,0.0004278758],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03169885,"threshold_uncertainty_score":0.06302869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2084137133220733,"score_gpt":0.3808341241155872,"score_spread":0.1724204107935139,"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."}}