{"id":"W4230360878","doi":"10.1079/dmpd/20056500042","title":"<i>Phaeocryptopus gaeumanii</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Ecology and Conservation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Irish; Geography; Forestry; 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":[0.0001040003,0.0009149248,0.0003247348,0.002373786,0.0003397156,0.0004103393,0.0007741034,0.0002664372,0.1540041],"category_scores_gemma":[0.0003551129,0.0002081652,0.000182854,0.003770762,0.0002564811,0.0005635585,0.0004390493,0.000452813,0.05173894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005267203,"about_ca_system_score_gemma":0.0005133727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06678137,"about_ca_topic_score_gemma":0.07004447,"domain_scores_codex":[0.9999163,0.000009411172,0.000005818755,0.00002041447,0.00002626327,0.00002179397],"domain_scores_gemma":[0.9998342,0.00002504348,0.00004101463,0.000007618281,0.00006753702,0.00002455157],"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":[0.0001327792,0.0000283777,0.004288481,0.0009872456,0.00002198622,0.00025231,0.0001396091,0.0003686681,0.001031648,0.0007285079,0.9318795,0.0601408],"study_design_scores_gemma":[0.00007067034,0.00002696972,0.05411262,0.0001949198,0.0000110376,0.0003194846,0.0001308711,0.0002333366,0.0002541594,0.0002926024,0.944339,0.00001418136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009734645,0.002959773,0.001676395,0.001562695,0.0009973268,0.0008319693,0.7344187,0.001187537,0.2466309],"genre_scores_gemma":[0.06040026,0.004423044,0.007775762,0.0008491013,0.0002566942,0.0008309742,0.8292031,0.0002597111,0.09600145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1540041,"threshold_uncertainty_score":0.515195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524731652107134,"score_gpt":0.2122750209364168,"score_spread":0.1970277044153455,"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."}}