{"id":"W3151818269","doi":"10.1079/dmpd/20133421482","title":"<i>Ditylenchus destructor</i> . [Distribution map].","year":2014,"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; Distribution (mathematics); Mainland China; 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":[0.00007014353,0.0001331706,0.0001911363,0.000005948491,0.0001835286,0.00004115431,0.0001571219,0.00004225584,0.0001805567],"category_scores_gemma":[0.00008314611,0.00006185562,0.0000992165,0.0001758285,0.00007333793,0.0001229003,0.00006694026,0.00003828709,0.00003683847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817127,"about_ca_system_score_gemma":0.000003558146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002289606,"about_ca_topic_score_gemma":0.00001283244,"domain_scores_codex":[0.9990599,0.00005869868,0.0002443303,0.000206135,0.0002350982,0.0001958411],"domain_scores_gemma":[0.9994902,0.0001046771,0.0001630282,0.00006194338,0.00009449787,0.00008566077],"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":[0.00015267,0.0003486052,0.076373,0.0001375348,0.0000631486,0.000004244689,0.00002100932,0.000006094374,0.01042626,0.0285451,0.8713147,0.01260766],"study_design_scores_gemma":[0.0001984501,0.0000811225,0.123137,0.00003775188,0.00005843184,0.000001512142,0.0001628708,0.00006222613,0.001316985,0.001729063,0.87301,0.0002045842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3850959,0.0003626881,0.0006841245,0.00120832,0.0004517575,0.0003706682,0.6114307,0.0002570118,0.0001388158],"genre_scores_gemma":[0.6902086,0.00004901623,0.000003986323,0.00005813059,0.0001501575,0.0000138208,0.3094596,5.452575e-7,0.00005625179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3051126,"threshold_uncertainty_score":0.2522399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123041138895295,"score_gpt":0.1959712625576353,"score_spread":0.1847408511686823,"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."}}