{"id":"W2548641152","doi":"10.1079/dmpd/20066500954","title":"<i>Valsa ceratosperma</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Uttar pradesh; Distribution (mathematics); Czech; Archaeology; Socioeconomics","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":[0.00008419548,0.0001433224,0.0002078435,0.000005147061,0.0001648741,0.00003299985,0.000165462,0.0001028214,0.0004113566],"category_scores_gemma":[0.00004855769,0.00006510544,0.0001407835,0.0001883072,0.0001043351,0.0001109008,0.00004534601,0.00006883981,0.00007281141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004388363,"about_ca_system_score_gemma":0.00001545067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003025593,"about_ca_topic_score_gemma":0.0001359193,"domain_scores_codex":[0.9989078,0.00006530981,0.0003001931,0.0002381125,0.0002022078,0.0002863582],"domain_scores_gemma":[0.9994647,0.0001295409,0.0001397606,0.000060209,0.0001012186,0.000104596],"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":[0.0001058149,0.0004150702,0.07660726,0.00002391802,0.00001468667,0.00001409391,0.000002465915,0.00001059782,0.0147014,0.01362388,0.8935484,0.0009323582],"study_design_scores_gemma":[0.0002287024,0.0001157294,0.1864448,0.00001594836,0.0000440124,0.000008239369,0.00004862738,0.0000461381,0.003664204,0.002779532,0.8063967,0.0002073713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2810002,0.0005394952,0.00004115886,0.0009670597,0.0002250731,0.000201034,0.7168124,0.0001128532,0.0001006478],"genre_scores_gemma":[0.5898688,0.00001829578,0.000002759572,0.00006191772,0.0002055813,0.00001213326,0.4097486,5.00641e-7,0.00008139643],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3088685,"threshold_uncertainty_score":0.4504066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008371290088187764,"score_gpt":0.1929485755091642,"score_spread":0.1845772854209764,"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."}}