{"id":"W4255043670","doi":"10.1079/dmpp/20056600105","title":"<i>Etiella zinckenella</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Sierra leone; Cape verde; Distribution (mathematics); China; Socioeconomics; Environmental protection; Ethnology; 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":[0.0001678423,0.001575658,0.0006544574,0.004846904,0.0007055051,0.0009879777,0.001205915,0.0005104435,0.2034458],"category_scores_gemma":[0.0005216132,0.000464774,0.0003641062,0.008715244,0.0003018533,0.00127516,0.0009678943,0.000909214,0.1063916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000707616,"about_ca_system_score_gemma":0.0009082569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03775631,"about_ca_topic_score_gemma":0.03279205,"domain_scores_codex":[0.9998339,0.00001479462,0.00001204838,0.00004605092,0.00004837075,0.00004476696],"domain_scores_gemma":[0.9996229,0.00004535697,0.00008542264,0.00002198277,0.0001699999,0.00005415339],"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":[0.0001087435,0.00003105809,0.001396185,0.001585573,0.00001413885,0.0001661601,0.0001584982,0.0002531133,0.001380909,0.0005581787,0.9401355,0.05421191],"study_design_scores_gemma":[0.00003991722,0.00001718841,0.01022961,0.0001933708,0.000008837954,0.000164919,0.000133331,0.00009729369,0.0001898112,0.000243304,0.9886706,0.00001182685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0020854,0.002669572,0.001422554,0.000849972,0.0006897601,0.000553553,0.84053,0.002017178,0.149182],"genre_scores_gemma":[0.01106468,0.003056459,0.006313052,0.0005779858,0.0001764799,0.0009053925,0.9160786,0.0004785935,0.06134875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2034458,"threshold_uncertainty_score":0.6805941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194159612345969,"score_gpt":0.1984614159147928,"score_spread":0.1865198197913331,"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."}}