{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001207925,0.00136562,0.001401073,0.002901066,0.0006290571,0.001718616,0.002179321,0.001527277,0.03053225],"category_scores_gemma":[0.006187023,0.0004381287,0.00111253,0.004785446,0.0003949222,0.0007423278,0.001842633,0.001136318,0.0177942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318405,"about_ca_system_score_gemma":0.001938204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01956393,"about_ca_topic_score_gemma":0.03325843,"domain_scores_codex":[0.9990216,0.0001464761,0.0001412938,0.0003185866,0.0002263916,0.0001457016],"domain_scores_gemma":[0.9977108,0.0007946281,0.0003980363,0.0003997722,0.0004206857,0.00027598],"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":[0.0006398348,0.00009305591,0.02300911,0.004043676,0.0004852296,0.0001746671,0.0001618706,0.001578547,0.0012741,0.001480277,0.9578286,0.009231053],"study_design_scores_gemma":[0.000987392,0.0000632302,0.07876933,0.0006191891,0.0002809613,0.0002951737,0.000211345,0.001351975,0.001760749,0.002306661,0.9132552,0.00009885288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009737284,0.0001053805,0.0000684983,0.00007020358,0.00001174355,0.000008901106,0.998215,0.0001733973,0.0003731511],"genre_scores_gemma":[0.002259434,0.00008965974,0.0003049124,0.00004105646,0.000004817659,0.00007039172,0.9968064,0.00004743129,0.0003758312],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03053225,"threshold_uncertainty_score":0.1021405,"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."}}