{"id":"W4248237292","doi":"10.1079/dmpd/20056500692","title":"<i>Ustilago trichophora</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; Uttar pradesh; China; Distribution (mathematics); Tanzania; Socioeconomics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001117282,0.001095093,0.0003548257,0.003446857,0.0003591625,0.0006123979,0.0006821013,0.0002932095,0.224656],"category_scores_gemma":[0.0004696127,0.000277064,0.0002972154,0.007710557,0.0001966975,0.0007001664,0.0006602631,0.000421874,0.08308025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405332,"about_ca_system_score_gemma":0.000601448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03995362,"about_ca_topic_score_gemma":0.03664793,"domain_scores_codex":[0.9998808,0.00001245013,0.0000121681,0.00002937984,0.00003519786,0.00003000463],"domain_scores_gemma":[0.9996917,0.00003935662,0.00007254345,0.00001638839,0.0001432261,0.00003676418],"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":[0.000075829,0.00001940505,0.002150349,0.001228287,0.00001610387,0.000152574,0.0001248946,0.0002222335,0.001139247,0.000377691,0.94739,0.04710341],"study_design_scores_gemma":[0.00004043011,0.00002329977,0.02538969,0.0002097258,0.000008718321,0.000223398,0.0001464953,0.0001713966,0.0002288738,0.0002057462,0.973342,0.00001019421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002362105,0.001127189,0.0006607786,0.0004376279,0.0002666329,0.0003181249,0.8978037,0.001183289,0.0958406],"genre_scores_gemma":[0.01155543,0.001843619,0.003390081,0.0003646831,0.00008180013,0.0005451441,0.9370136,0.0002474816,0.04495804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.224656,"threshold_uncertainty_score":0.7515492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007356886626992026,"score_gpt":0.2170580856494463,"score_spread":0.2097011990224543,"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."}}