{"id":"W4248486722","doi":"10.1079/dmpp/20056600339","title":"<i>Viteus vitifoliae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phylloxera; Vine; Distribution (mathematics); China; Geography; Biology; Botany; Archaeology; Rootstock","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":[0.0001003584,0.0008265691,0.0003614551,0.002350197,0.0002409131,0.0005729929,0.0006831894,0.000246809,0.2005053],"category_scores_gemma":[0.0003432544,0.0002324631,0.0001635324,0.004143933,0.0001794458,0.0005741182,0.0003652822,0.0004277193,0.08892993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861532,"about_ca_system_score_gemma":0.0004081567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02466286,"about_ca_topic_score_gemma":0.01688195,"domain_scores_codex":[0.9999107,0.00001042279,0.000006800552,0.00002187669,0.00002868263,0.00002140479],"domain_scores_gemma":[0.9997651,0.0000316618,0.00005900599,0.00001255258,0.00009670306,0.00003505993],"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":[0.00008787762,0.00002303485,0.002574016,0.001161261,0.00001575324,0.0001010431,0.00009424809,0.0003169799,0.0009937367,0.001075598,0.9182503,0.07530604],"study_design_scores_gemma":[0.00003425487,0.00001388623,0.01383624,0.00009945932,0.000003695055,0.00009536037,0.00004979522,0.0001320753,0.0001550628,0.000234494,0.9853394,0.000006236706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004206917,0.002650524,0.001442932,0.0008407538,0.0003770276,0.0003730735,0.7302257,0.002508766,0.2573744],"genre_scores_gemma":[0.02519339,0.002445367,0.004165811,0.0004668956,0.0001224943,0.0004177381,0.8606871,0.0004682089,0.1060329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2005053,"threshold_uncertainty_score":0.6707571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005912021691013895,"score_gpt":0.2031202176365114,"score_spread":0.1972081959454975,"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."}}