{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001124719,0.0001443663,0.00016191,0.000007306697,0.0001605608,0.00003666698,0.0001865411,0.00006531869,0.0005667657],"category_scores_gemma":[0.00004812632,0.00006681435,0.0001247211,0.0002073964,0.00009023478,0.0001623125,0.00006418947,0.00006028369,0.00009158805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005618293,"about_ca_system_score_gemma":0.000009990982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000708477,"about_ca_topic_score_gemma":0.00007151685,"domain_scores_codex":[0.9988796,0.00005086382,0.000274563,0.0002808656,0.0002681589,0.0002459436],"domain_scores_gemma":[0.9995027,0.00003663917,0.0001398535,0.00008429478,0.00009684447,0.0001396965],"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":[0.00008676446,0.000352151,0.001352047,0.00001983053,0.00002459282,0.000002457558,0.000005685511,0.00003488378,0.003213968,0.00988763,0.9515213,0.03349872],"study_design_scores_gemma":[0.0001599144,0.0000614459,0.007070992,0.00001640141,0.00003691005,0.000003240521,0.0001087292,0.00004054458,0.003888478,0.0003097038,0.9881457,0.0001579392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09316171,0.001993529,0.0005424201,0.02028452,0.0008010979,0.00061464,0.8819653,0.0004572421,0.0001794846],"genre_scores_gemma":[0.5487785,0.0002003344,0.00002713907,0.0002559083,0.0005078288,0.0000269932,0.4497557,0.000001004457,0.0004466035],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4556168,"threshold_uncertainty_score":0.6205688,"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."}}