{"id":"W4244649381","doi":"10.1079/dmpd/20046500506","title":"<i>Kabatiella zeae</i> . [Distribution map].","year":2008,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Mollusks and Parasites Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; China; Zea mays; Forestry; Environmental protection; Biology; Archaeology; Agronomy","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":[0.0001078672,0.0009058736,0.0004165163,0.002577103,0.0004074047,0.0004694549,0.0008512991,0.0003090736,0.1171012],"category_scores_gemma":[0.0003502709,0.0002991719,0.0002240991,0.00506105,0.0002823674,0.0005697881,0.0005217905,0.0005133093,0.04344601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044806,"about_ca_system_score_gemma":0.0006234296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0541875,"about_ca_topic_score_gemma":0.05380476,"domain_scores_codex":[0.9999278,0.000008055999,0.000005124408,0.00001506894,0.00002249433,0.0000214848],"domain_scores_gemma":[0.9998125,0.00002231132,0.00005321065,0.00000915769,0.00007737335,0.00002553367],"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":[0.0002431689,0.00003346681,0.004830913,0.001626832,0.000032407,0.0002694824,0.0002674268,0.0004612561,0.003364349,0.001177141,0.8955962,0.09209736],"study_design_scores_gemma":[0.00007213727,0.00002661776,0.0456511,0.0001777382,0.00001435102,0.0002336176,0.0001429767,0.0002313036,0.0002328286,0.0003361005,0.9528663,0.0000149033],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01126426,0.005217637,0.002384371,0.001720704,0.0008823676,0.0007334288,0.8020944,0.002005736,0.1736971],"genre_scores_gemma":[0.05484543,0.004950453,0.009587765,0.0005606268,0.0001851421,0.0009159522,0.8740432,0.0002771823,0.05463418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1171012,"threshold_uncertainty_score":0.3917426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033941157805481,"score_gpt":0.2123663413889876,"score_spread":0.1920269298109327,"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."}}