{"id":"W4238513489","doi":"10.1079/dmpd/20056500513","title":"<i>Ascochyta fabae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ascochyta; Distribution (mathematics); Vicia faba; China; Geography; Biology; Agroforestry; Botany; Archaeology; Blight","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":[0.0001660144,0.001012505,0.0005366502,0.003801777,0.000470073,0.0006588915,0.0009088014,0.0003700613,0.1274975],"category_scores_gemma":[0.0006015598,0.0003154802,0.0003072145,0.007130554,0.0002940059,0.0005120412,0.0004463862,0.0006404796,0.0513938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007025081,"about_ca_system_score_gemma":0.0007014504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05144072,"about_ca_topic_score_gemma":0.03364253,"domain_scores_codex":[0.9998964,0.00001313145,0.000007607661,0.00002635329,0.00002988652,0.00002657179],"domain_scores_gemma":[0.9996593,0.00004979272,0.00008608892,0.00001597555,0.0001319033,0.00005703115],"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":[0.0003071058,0.0000459296,0.003014621,0.002286797,0.00003713697,0.0002764766,0.0002615471,0.0004906409,0.003712521,0.001031851,0.9096048,0.07893042],"study_design_scores_gemma":[0.00009937355,0.0000273436,0.03564818,0.0001855933,0.00001629804,0.0001832334,0.00008093294,0.0001680607,0.0002507309,0.0002865138,0.9630404,0.00001325003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005424925,0.002342318,0.00192078,0.001203908,0.0007274206,0.0005287462,0.9009038,0.001567518,0.08538055],"genre_scores_gemma":[0.01939972,0.002234387,0.007081909,0.0003811669,0.0001606529,0.0004883577,0.9405559,0.0002213323,0.02947659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1274975,"threshold_uncertainty_score":0.4265215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069128849231409,"score_gpt":0.1903564391581866,"score_spread":0.1796651506658725,"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."}}