{"id":"W4236357578","doi":"10.1079/dmpd/20056500329","title":"<i>Phomopsis vexans</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Tanzania; Distribution (mathematics); China; West indies; Forestry; Archaeology; Ethnology","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":[0.00007916824,0.0008394799,0.0003835699,0.003055126,0.0004446857,0.0004971367,0.0006614585,0.0002573622,0.08645692],"category_scores_gemma":[0.0002629651,0.0002667053,0.0002691197,0.004927841,0.0002038637,0.0004627244,0.000383058,0.0006189048,0.03003129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005914391,"about_ca_system_score_gemma":0.0007312507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03345188,"about_ca_topic_score_gemma":0.02536134,"domain_scores_codex":[0.999948,0.000004999973,0.000003821493,0.00001317667,0.00001708381,0.00001292183],"domain_scores_gemma":[0.9998631,0.00001818435,0.00003420333,0.00000633631,0.00005039647,0.00002773156],"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":[0.0003714367,0.00007418951,0.004302904,0.003814711,0.0000422719,0.0004827119,0.0003667437,0.000863174,0.01152726,0.001858172,0.8286327,0.1476637],"study_design_scores_gemma":[0.00006641374,0.00002520163,0.03420924,0.0001745697,0.00001451382,0.000277674,0.000111395,0.000239797,0.0005256954,0.0003360942,0.9640049,0.00001442784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009090865,0.002846121,0.002868008,0.001003091,0.0004920585,0.0005607894,0.8107589,0.002612855,0.1697673],"genre_scores_gemma":[0.02381954,0.00283346,0.007245337,0.0003217898,0.00009422523,0.0004493044,0.9336777,0.0002413194,0.03131723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08645692,"threshold_uncertainty_score":0.2892272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007100419907000105,"score_gpt":0.2133323905533591,"score_spread":0.206231970646359,"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."}}