{"id":"W2559601470","doi":"10.1079/dmpd/20066500861","title":"<i>Alternaria helianthi</i> . [Distribution map].","year":2006,"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; Distribution (mathematics); Tanzania; Agroforestry; Biology","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":[0.0001975974,0.001552995,0.0006142565,0.004065381,0.000491878,0.0008993736,0.001146225,0.0004326622,0.2000425],"category_scores_gemma":[0.0005415159,0.0003639148,0.0003839865,0.009583235,0.0002253429,0.0008233171,0.0006890236,0.00067264,0.1197616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005770436,"about_ca_system_score_gemma":0.0009016525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03989103,"about_ca_topic_score_gemma":0.03280015,"domain_scores_codex":[0.9998342,0.00001548856,0.00001492774,0.00004359715,0.00004909863,0.00004264652],"domain_scores_gemma":[0.9994985,0.00004516078,0.0001176432,0.00002426567,0.0002475004,0.00006704582],"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":[0.00007580594,0.00002552357,0.001492705,0.001668326,0.00001821535,0.0001377631,0.0001009534,0.0002379141,0.001370695,0.0005120335,0.9522889,0.04207115],"study_design_scores_gemma":[0.00005043143,0.00002276051,0.0164145,0.0002103628,0.00001060704,0.0001643899,0.00007942775,0.0001710464,0.0001963661,0.000218609,0.9824497,0.0000118044],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001215366,0.001293277,0.0005619406,0.0004508192,0.0002575837,0.0003167419,0.9295072,0.0009527546,0.06544435],"genre_scores_gemma":[0.005573539,0.001545391,0.002771727,0.0003031729,0.00008500776,0.000432168,0.9533493,0.0001832922,0.03575641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2000425,"threshold_uncertainty_score":0.669209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006141841815881295,"score_gpt":0.2084043036070068,"score_spread":0.2022624617911255,"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."}}