{"id":"W6967282077","doi":"10.5061/dryad.k4p48","title":"Data from: Quantitative genetic variance and multivariate clines in the Ivyleaf morning glory, Ipomoea hederacea","year":2014,"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":"Genetic variation; Quantitative genetics; Trait; Population; Range (aeronautics); Multivariate statistics; Selection (genetic algorithm); Quantitative trait locus; Natural selection","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":[0.001355122,0.0009850641,0.001095863,0.002794504,0.0008326894,0.001596797,0.001854317,0.00121011,0.02212927],"category_scores_gemma":[0.003488095,0.0004625783,0.0008012902,0.004886685,0.0005061296,0.0009015966,0.001876943,0.001561888,0.01676063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001049628,"about_ca_system_score_gemma":0.001219083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02567818,"about_ca_topic_score_gemma":0.05046503,"domain_scores_codex":[0.9992788,0.000115034,0.00008081099,0.0002487607,0.0001875364,0.00008912442],"domain_scores_gemma":[0.9980974,0.0005758818,0.0003290915,0.0004088348,0.0004108904,0.0001779767],"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":[0.000321112,0.0001177598,0.02427752,0.002262153,0.000229135,0.0002555299,0.0009063269,0.002105894,0.004205142,0.002349659,0.9446487,0.01832107],"study_design_scores_gemma":[0.000363444,0.00003540308,0.1210595,0.0003205944,0.0000851092,0.0001911288,0.0005465776,0.001192372,0.001230184,0.003032116,0.8718371,0.0001064455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002832689,0.00008885659,0.000328427,0.0001071302,0.00001927905,0.00001420398,0.9952797,0.0004589159,0.0008709504],"genre_scores_gemma":[0.004194976,0.0000704751,0.00127542,0.00004808153,0.000006223016,0.0001177593,0.9935107,0.0001500026,0.0006263134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02567818,"threshold_uncertainty_score":0.0740298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07607887175126757,"score_gpt":0.3412620683869876,"score_spread":0.2651831966357201,"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."}}