{"id":"W6929499485","doi":"10.5061/dryad.j2063","title":"Data from: Standing genetic variation in host preference for mutualist microbial symbionts","year":2014,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Cancer and biochemical research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mutualism (biology); Host (biology); Trait; Selection (genetic algorithm); Heritability; Symbiosis; Natural selection; Rhizobia; Genetic variation; Coevolution","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005579784,0.0003651489,0.000387046,0.00007997255,0.0001566087,0.0001856359,0.003164717,0.0003361175,0.00002058114],"category_scores_gemma":[0.0001082715,0.0003445732,0.00003903384,0.000116382,0.0001005668,0.00002031367,0.00367215,0.0003302975,0.000005959568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002855825,"about_ca_system_score_gemma":0.0001305929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00540773,"about_ca_topic_score_gemma":0.03808278,"domain_scores_codex":[0.9970747,0.0001795315,0.0004390349,0.001536803,0.0002403786,0.0005295192],"domain_scores_gemma":[0.9967339,0.0002046257,0.0001970456,0.002666207,0.00004145674,0.0001567826],"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":[0.0007320918,0.00008975873,0.0003687039,0.000774376,0.0001500316,0.000004452314,0.00008459725,0.00001621802,0.09504354,7.331791e-7,0.9004195,0.002316047],"study_design_scores_gemma":[0.001309148,0.0001756393,0.00846621,0.0008489223,0.0001721827,0.000007384799,0.00004708452,0.01132909,0.0008212636,0.00005845428,0.9760432,0.0007214408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05256026,0.00107251,0.001446621,0.00002935332,0.0002467877,0.0004357702,0.944184,0.000008853057,0.00001584568],"genre_scores_gemma":[0.01890812,0.003685361,0.0007653233,0.0001672222,0.001506937,0.00003514122,0.9748696,0.00003304665,0.00002923946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09422227,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0516575382601035,"score_gpt":0.3155195372226003,"score_spread":0.2638619989624968,"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."}}