{"id":"W2597947325","doi":"10.1079/dmpd/20083245618","title":"<i>Diaporthe vexans</i> . [Distribution map].","year":2008,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Distribution (mathematics); Uttar pradesh; Socioeconomics; Environmental protection; Forestry; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006314143,0.0002126093,0.0002214236,0.00002207729,0.0001764987,0.00001138964,0.0001940664,0.000117227,0.00004001836],"category_scores_gemma":[0.0001465504,0.0002031137,0.0002278358,0.0001083869,0.0001709948,0.0000101971,0.00006885902,0.0000588441,0.00002703025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002003117,"about_ca_system_score_gemma":0.0001443308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001400548,"about_ca_topic_score_gemma":0.000003948318,"domain_scores_codex":[0.9987156,0.00005553647,0.0003133111,0.0003511632,0.000259096,0.0003052823],"domain_scores_gemma":[0.9991264,0.0000197339,0.0001583918,0.0003323454,0.0001377893,0.0002253768],"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":[0.0004575134,0.0004298706,0.06868837,0.00007661704,0.00007740492,0.00008650986,0.00000623179,0.00004805181,0.05698073,0.0005829008,0.872413,0.0001527869],"study_design_scores_gemma":[0.0006826198,0.0001894199,0.04104772,0.00003974022,0.0001119601,0.0001008118,0.00004013695,0.00003585275,0.016872,0.00010362,0.9404087,0.0003674057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1455883,0.002147941,0.001719625,0.0000453498,0.0001657314,0.000191414,0.8500676,0.00003770557,0.00003638376],"genre_scores_gemma":[0.4312463,0.0005670834,0.00001859308,0.00005929794,0.0001407668,0.00002127228,0.5678394,0.000009849788,0.00009734574],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.285658,"threshold_uncertainty_score":0.8282735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009748785784671546,"score_gpt":0.2091355962298405,"score_spread":0.199386810445169,"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."}}