{"id":"W4251677285","doi":"10.1079/dmpd/20056500229","title":"<i>Ramularia armoraciae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Biology; Botany","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":[0.0001309018,0.001216023,0.0005349414,0.003662066,0.0003418479,0.0006611358,0.0009846138,0.0003266627,0.1106645],"category_scores_gemma":[0.0003646224,0.0002973928,0.0002635065,0.005135648,0.0002599727,0.0007145402,0.0005309479,0.0005567709,0.0536278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005253232,"about_ca_system_score_gemma":0.0004484759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02554425,"about_ca_topic_score_gemma":0.02047012,"domain_scores_codex":[0.9998957,0.0000124001,0.000008042623,0.0000282628,0.00003155765,0.00002403785],"domain_scores_gemma":[0.999783,0.00003121504,0.00006583911,0.00001471227,0.00007849982,0.00002675893],"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":[0.0002269918,0.00003714945,0.003022016,0.002434725,0.00003207459,0.0003724752,0.00020685,0.0006097906,0.003109741,0.001433951,0.8074679,0.1810463],"study_design_scores_gemma":[0.00003997005,0.00002054597,0.0234478,0.0001839129,0.00001225869,0.0002504335,0.00006869924,0.0001641116,0.000230803,0.0003077703,0.9752612,0.0000124642],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.007852345,0.00950675,0.003099012,0.001646867,0.001169214,0.0008400213,0.6622635,0.003657346,0.3099649],"genre_scores_gemma":[0.04681801,0.008906527,0.01169417,0.0006676679,0.0003623853,0.000823014,0.8450218,0.0004411044,0.08526526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1106645,"threshold_uncertainty_score":0.3702095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201241638114159,"score_gpt":0.2029193837100407,"score_spread":0.1909069673288991,"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."}}