{"id":"W4256518341","doi":"10.1079/dmpd/20056500547","title":"<i>Melampsora medusae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Biology; Geography; Biogeography; Ecology","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":[0.00009181546,0.0008648517,0.0003054278,0.002724614,0.0003576881,0.0004237575,0.0006543579,0.0002439001,0.1276384],"category_scores_gemma":[0.0002597507,0.000242288,0.0002043274,0.003501518,0.0002147904,0.0005833497,0.0004898034,0.0004170376,0.04327221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000342284,"about_ca_system_score_gemma":0.0003284602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03251973,"about_ca_topic_score_gemma":0.0360129,"domain_scores_codex":[0.9999331,0.000008069699,0.000005622137,0.00001498193,0.00002210182,0.00001615832],"domain_scores_gemma":[0.9998322,0.000021563,0.00004859436,0.000007304069,0.00006172199,0.00002857246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001335436,0.00003643067,0.003733322,0.001212196,0.00001949993,0.0002485599,0.0001827697,0.0002971396,0.001771159,0.0006100159,0.9140538,0.07770165],"study_design_scores_gemma":[0.00004127657,0.00002797708,0.04242812,0.0001723376,0.000009706592,0.0002610952,0.0001185424,0.0001947289,0.0002950701,0.000208436,0.9562293,0.00001340545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01007093,0.003380177,0.001850553,0.001518652,0.0007161142,0.0008737804,0.7209862,0.00231348,0.25829],"genre_scores_gemma":[0.0472011,0.003967117,0.008495217,0.0008282478,0.0002741569,0.0008559487,0.8394161,0.0002956834,0.09866638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1276384,"threshold_uncertainty_score":0.4269931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117387912050298,"score_gpt":0.202007048320694,"score_spread":0.1902682571156642,"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."}}