{"id":"W4246942225","doi":"10.1079/dmpd/20113314312","title":"<i>Heterodera glycines</i> . [Distribution map].","year":2011,"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; China; Forestry; Distribution (mathematics); Mainland 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002249,0.001659678,0.0006229173,0.004512397,0.0005337106,0.000713626,0.001010123,0.0004376209,0.1487909],"category_scores_gemma":[0.0005991503,0.0004055757,0.0003710041,0.009953081,0.0002643911,0.0007847878,0.0006351749,0.0008124207,0.07293084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000777149,"about_ca_system_score_gemma":0.001047953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06265674,"about_ca_topic_score_gemma":0.04767771,"domain_scores_codex":[0.9998697,0.00001367304,0.00001186045,0.00003833738,0.00003935345,0.0000269671],"domain_scores_gemma":[0.999522,0.00005104444,0.0001105441,0.00001921765,0.0002372254,0.00005992051],"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":[0.0000835943,0.00002594557,0.002066087,0.001439084,0.00002278932,0.0001424904,0.0001474629,0.0003054654,0.001240604,0.0004057561,0.957996,0.03612469],"study_design_scores_gemma":[0.00006728616,0.00002086652,0.02373695,0.000254752,0.00001586201,0.0001414695,0.000118516,0.0001703487,0.0001892014,0.0002330095,0.9750369,0.00001475685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001627503,0.001436269,0.0006247268,0.0004926523,0.0003840516,0.0003221364,0.9420338,0.0009317044,0.05214714],"genre_scores_gemma":[0.006241199,0.001917215,0.003674395,0.0003714305,0.0001004941,0.0006056811,0.9609535,0.0001971607,0.02593904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1487909,"threshold_uncertainty_score":0.4977553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343205812493761,"score_gpt":0.2003439059042258,"score_spread":0.1769118477792882,"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."}}