{"id":"W4241407591","doi":"10.1079/dmpd/20056500438","title":"<i>Gnomonia fragariae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Biology; 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":[0.0001195725,0.001075276,0.000463786,0.003615835,0.0003981852,0.0005738077,0.0008955841,0.0004018027,0.1580099],"category_scores_gemma":[0.0005244259,0.0003157525,0.0002823804,0.006342295,0.0002566656,0.0005773635,0.0005480889,0.0006041005,0.05871281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006186485,"about_ca_system_score_gemma":0.0006221377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03925614,"about_ca_topic_score_gemma":0.03309406,"domain_scores_codex":[0.9999204,0.000009378035,0.000005797752,0.00001834152,0.00002356122,0.00002246744],"domain_scores_gemma":[0.9997556,0.0000379214,0.00006774451,0.00001171928,0.00008792211,0.0000391012],"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":[0.0001960166,0.00003111577,0.002404113,0.002053501,0.00002329437,0.0002240267,0.0001820628,0.0004258678,0.002759811,0.0008619552,0.922654,0.06818417],"study_design_scores_gemma":[0.00007490087,0.00002285513,0.02714773,0.0002382688,0.00001219371,0.000200557,0.00007717602,0.000191207,0.0002629971,0.0003543883,0.9714021,0.00001574327],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004055205,0.001923608,0.001474828,0.001182734,0.0005397293,0.0004823686,0.8971347,0.001650929,0.09155586],"genre_scores_gemma":[0.01601376,0.00234989,0.006138229,0.0003958733,0.0001354634,0.0005332287,0.9432157,0.0002271215,0.03099073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1580099,"threshold_uncertainty_score":0.5285958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009716516074415515,"score_gpt":0.2023676322967562,"score_spread":0.1926511162223407,"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."}}