{"id":"W4246788685","doi":"10.1079/dmpd/20046500281","title":"<i>Phytophthora drechsleri</i> . [Distribution map].","year":2008,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Distribution (mathematics); China; Panama; Archaeology; Environmental protection; Ecology; Biology","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":[0.00007330796,0.0001627937,0.0002340525,0.000006021769,0.0002904556,0.00001652436,0.0001994654,0.00008947445,0.0001439531],"category_scores_gemma":[0.00005871899,0.00007234198,0.0001669455,0.0002404986,0.0001305735,0.000108002,0.00003974709,0.00007257191,0.00004375236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000337029,"about_ca_system_score_gemma":0.00002011892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004079018,"about_ca_topic_score_gemma":0.00001952225,"domain_scores_codex":[0.9988119,0.00006071901,0.0002786978,0.000268744,0.0002933766,0.000286569],"domain_scores_gemma":[0.9993963,0.0001079072,0.0001572146,0.00007614005,0.00009940691,0.0001630146],"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":[0.0002989631,0.0004775375,0.03700557,0.00005158636,0.0000306758,0.000156834,0.000005169006,0.00001035214,0.1158649,0.001354443,0.8426761,0.002067849],"study_design_scores_gemma":[0.0001715835,0.00009609855,0.203243,0.00005056137,0.00003153233,0.00005605126,0.00005427997,0.00002694991,0.004502596,0.0002830993,0.7912385,0.0002456575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3378952,0.0008064825,0.00005908963,0.0002048287,0.00014244,0.0001414853,0.6606417,0.00007866675,0.00003013461],"genre_scores_gemma":[0.5876019,0.0003204978,0.00001111918,0.00003769642,0.0001430813,0.00001385514,0.4117481,7.41665e-7,0.0001229904],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2497067,"threshold_uncertainty_score":0.295002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01632344926803233,"score_gpt":0.2011683701725425,"score_spread":0.1848449209045101,"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."}}