{"id":"W4243835638","doi":"10.1079/dmpd/20056500523","title":"<i>Itersonilia pastinacae</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Biogeography; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001660179,0.001172362,0.0004774431,0.002832752,0.0004016835,0.0005226214,0.001003674,0.0003440478,0.1927237],"category_scores_gemma":[0.0004017715,0.000352566,0.0002491928,0.00442411,0.0002936899,0.0007434669,0.0006234088,0.0005767019,0.07662769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005429136,"about_ca_system_score_gemma":0.0005678431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03729171,"about_ca_topic_score_gemma":0.03646131,"domain_scores_codex":[0.9998993,0.00001107144,0.000008904858,0.00002393837,0.00003468214,0.00002207703],"domain_scores_gemma":[0.9997378,0.00003712059,0.00007269328,0.00001717843,0.00009626254,0.00003893574],"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":[0.0001137047,0.00001969194,0.001814252,0.001119865,0.00001367944,0.0001526787,0.0001385454,0.0002603167,0.001079798,0.0005617401,0.9266138,0.0681119],"study_design_scores_gemma":[0.00003013793,0.00001794569,0.01778199,0.000162301,0.000009227613,0.0001796123,0.00008203599,0.0001362227,0.0002093119,0.0001831067,0.9811965,0.00001163947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005321646,0.003908985,0.002290293,0.001505361,0.001030321,0.0008827997,0.6535496,0.003403515,0.3281075],"genre_scores_gemma":[0.03682333,0.006522669,0.01063231,0.0009734008,0.0003708355,0.001181973,0.7837486,0.0006428021,0.159104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1927237,"threshold_uncertainty_score":0.644725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271141385891348,"score_gpt":0.202715237155867,"score_spread":0.1900038232969535,"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."}}