{"id":"W4238136786","doi":"10.1079/dmpd/20056500067","title":"<i>Corynebacterium insidiosum</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant and fungal interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Medicago sativa; Biology; Geography; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001688853,0.001575405,0.0007354838,0.006216327,0.0005247974,0.0008052951,0.00107154,0.0004852317,0.1054729],"category_scores_gemma":[0.0006975351,0.0004465607,0.0003936302,0.01317008,0.0003096257,0.0006114216,0.0005347515,0.0009096487,0.04995047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000955486,"about_ca_system_score_gemma":0.001060035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05309984,"about_ca_topic_score_gemma":0.03616429,"domain_scores_codex":[0.9998643,0.00001437241,0.00001170103,0.00003363362,0.00004308716,0.00003295668],"domain_scores_gemma":[0.9995048,0.00007660486,0.0001339282,0.00001968322,0.0001882733,0.00007668672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003078766,0.00005306328,0.002962394,0.004688786,0.00003869924,0.0003607759,0.0002373566,0.0007170884,0.005104139,0.001273371,0.9127877,0.07146872],"study_design_scores_gemma":[0.00006370911,0.00002485831,0.02090939,0.0002697718,0.00001474449,0.0001905256,0.00007149739,0.0001618986,0.0004041705,0.0002577988,0.9776173,0.00001453475],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.002996018,0.002748469,0.001310251,0.0008406788,0.0007905418,0.000352612,0.9304948,0.001237769,0.05922885],"genre_scores_gemma":[0.007791335,0.002690895,0.004487907,0.0002902558,0.000118116,0.0002726504,0.9667104,0.0001930105,0.01744544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1054729,"threshold_uncertainty_score":0.352842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420762427308486,"score_gpt":0.2108660505632711,"score_spread":0.1966584262901863,"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."}}