{"id":"W6948557008","doi":"10.5061/dryad.1g1jwstvt","title":"EcoEvo Icelandic Arctic charr population divergence","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sympatric speciation; Sympatry; Gene flow; Arctic; Benthic zone; Allopatric speciation; Population; Genetic divergence; Divergence (linguistics)","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":[0.0003547661,0.000233021,0.0001549335,0.000604391,0.0003737566,0.0004088063,0.0001009321,0.0001068985,0.001111488],"category_scores_gemma":[0.0003728395,0.00005751821,0.0001328076,0.0003328181,0.0002229006,0.0001336846,0.0002903122,0.0001087178,0.0001626441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006393587,"about_ca_system_score_gemma":0.0002427156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447913,"about_ca_topic_score_gemma":0.03814442,"domain_scores_codex":[0.9998662,0.00003041154,0.000008626987,0.00004563998,0.00002518012,0.00002390202],"domain_scores_gemma":[0.9997975,0.00002880059,0.00007300833,0.00001957828,0.0000515148,0.00002952105],"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":[0.0002379513,0.00002569791,0.9660133,0.00003164079,0.0001136661,0.0001182688,0.0004905424,0.001038853,0.01314735,0.0003967696,0.0003603718,0.01802566],"study_design_scores_gemma":[0.000002652719,0.00001998467,0.9988527,0.000003584455,0.000008427123,0.00006554372,0.000134103,0.0003253246,0.0001660118,0.0000457661,0.0003742066,0.000001697215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9988312,0.00007706093,0.00009387185,0.00001265093,0.000002845765,0.000001223282,0.0001613906,0.000006792607,0.0008128617],"genre_scores_gemma":[0.9991255,0.00005582229,0.000144022,0.00001318317,0.000004808872,0.000004067886,0.0004228431,0.000002686824,0.0002271823],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01447913,"threshold_uncertainty_score":0.0287897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665100371392999,"score_gpt":0.3138914701460475,"score_spread":0.2972404664321175,"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."}}