{"id":"W4244036361","doi":"10.1079/dmpd/20093074278","title":"<i>Ditylenchus dipsaci</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; Mainland China; Environmental protection; China; 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":[0.0001378116,0.001813853,0.0006674649,0.004781161,0.0006130821,0.0006909334,0.0009685266,0.0004442897,0.2034412],"category_scores_gemma":[0.0004173695,0.0004121106,0.0003194691,0.006938543,0.0004069271,0.001023083,0.000817234,0.0007140719,0.09633937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007153865,"about_ca_system_score_gemma":0.0006856697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04112297,"about_ca_topic_score_gemma":0.03498696,"domain_scores_codex":[0.9998415,0.00001337652,0.00001515566,0.0000484277,0.00004357107,0.00003799967],"domain_scores_gemma":[0.9996874,0.00004385992,0.00009054396,0.00001505668,0.0001259293,0.00003713338],"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":[0.0001489508,0.00003455202,0.003758647,0.00224144,0.00003101616,0.0001803727,0.0001951892,0.0004283905,0.001685402,0.0008552087,0.9027066,0.0877342],"study_design_scores_gemma":[0.00006090445,0.00002774636,0.0291217,0.0002784164,0.00001512938,0.0002798368,0.0001806294,0.0002418059,0.0002265779,0.0002983752,0.9692509,0.00001792137],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004968831,0.003483313,0.001264567,0.0007140263,0.0008135216,0.0008665039,0.7937506,0.001411645,0.192727],"genre_scores_gemma":[0.02228371,0.003408018,0.005163796,0.0005506655,0.000216387,0.001023017,0.908376,0.000310582,0.05866785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2034412,"threshold_uncertainty_score":0.6805785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269899945634594,"score_gpt":0.2057485744060807,"score_spread":0.1930495749497347,"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."}}