{"id":"W4238249194","doi":"10.1079/dmpd/20093074279","title":"<i>Ditylenchus destructor</i> . [Distribution map].","year":2009,"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":"Geography; Mainland China; Mainland; Distribution (mathematics); China; Environmental protection; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004399037,0.0001363844,0.0001862676,0.000006390327,0.0001765316,0.00004260479,0.0001527072,0.00004273603,0.0001628645],"category_scores_gemma":[0.00004292784,0.00006376476,0.0001048241,0.0002112525,0.00005101475,0.0001493382,0.00003457151,0.00004020354,0.00002437556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002253784,"about_ca_system_score_gemma":0.000004792644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001164141,"about_ca_topic_score_gemma":0.000005538954,"domain_scores_codex":[0.9990745,0.00003436569,0.000249193,0.0002013651,0.0002377845,0.0002028216],"domain_scores_gemma":[0.9995624,0.00005071011,0.0001534237,0.0000563853,0.00009203645,0.00008507034],"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":[0.0001974253,0.000495734,0.02563185,0.00005273927,0.00004424761,0.00001477485,0.00002223607,0.000004004874,0.01625256,0.0170956,0.9240295,0.01615935],"study_design_scores_gemma":[0.0002672972,0.0001765916,0.3309617,0.00005305247,0.00007870061,0.000003203293,0.0002790289,0.00002407835,0.002236704,0.003478028,0.6621518,0.0002898201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3632891,0.0007400768,0.0001714982,0.002272676,0.0002798963,0.0003875921,0.6325085,0.0002475572,0.0001031667],"genre_scores_gemma":[0.6943627,0.00009214182,0.000003525186,0.00009625749,0.0001133933,0.000006513848,0.3052735,3.331092e-7,0.00005161424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3310736,"threshold_uncertainty_score":0.2600251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240630379811303,"score_gpt":0.2048254640530948,"score_spread":0.1924191602549818,"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."}}