{"id":"W4253499858","doi":"10.1079/dmpd/20046500274","title":"<i>Sclerotinia trifoliorum</i> . [Distribution map].","year":2008,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Distribution (mathematics); China; Irish; Environmental protection; 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":[0.0001507632,0.001113921,0.0005511172,0.004769325,0.0003914461,0.0006695961,0.0007842593,0.0003712214,0.114828],"category_scores_gemma":[0.0005644221,0.0003112377,0.000337086,0.007756098,0.0002601619,0.0005428813,0.0004399396,0.0005780904,0.04999753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006743129,"about_ca_system_score_gemma":0.0009090802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04840981,"about_ca_topic_score_gemma":0.04113951,"domain_scores_codex":[0.9998815,0.00001413958,0.00001185907,0.00002477865,0.00003753884,0.00003020502],"domain_scores_gemma":[0.9995264,0.00006137663,0.0001125357,0.00001670847,0.0002172368,0.00006580984],"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":[0.0001732929,0.00003461062,0.002087329,0.002622985,0.00002684186,0.0002160601,0.000169444,0.0004851141,0.002595398,0.0007648426,0.9377955,0.05302855],"study_design_scores_gemma":[0.00006592609,0.00002574517,0.02409909,0.0002103708,0.00001153393,0.0001878678,0.00006929505,0.0002152512,0.0002583143,0.0002293425,0.9746129,0.00001438777],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.00351242,0.001987767,0.001393686,0.0008686436,0.0005703141,0.0004316607,0.9125757,0.001727158,0.07693274],"genre_scores_gemma":[0.009171945,0.001783686,0.0047732,0.0002657638,0.0001192957,0.0003314403,0.9598706,0.0001972775,0.02348686],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.114828,"threshold_uncertainty_score":0.3841378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01645712315586312,"score_gpt":0.1940199238005864,"score_spread":0.1775628006447233,"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."}}