{"id":"W4253933172","doi":"10.1079/dmpp/20066600284","title":"<i>Bemisia tabaci</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Socioeconomics; Environmental protection","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":[0.0001968533,0.001905073,0.000860521,0.004095952,0.0004208795,0.001073717,0.0010671,0.0005923265,0.2099937],"category_scores_gemma":[0.0008785241,0.0004406936,0.0004886071,0.01019081,0.0002541988,0.0009165923,0.0007045484,0.0008945522,0.1405019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008859775,"about_ca_system_score_gemma":0.001137466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06467021,"about_ca_topic_score_gemma":0.03756,"domain_scores_codex":[0.9998016,0.00001854109,0.00002379792,0.00004595357,0.00005946437,0.00005068854],"domain_scores_gemma":[0.999351,0.00006573501,0.0001477753,0.00002826077,0.0003261469,0.00008109322],"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":[0.00005540312,0.00001803525,0.0008389674,0.00121739,0.00001492138,0.00005957603,0.00004311517,0.0001643718,0.0005386791,0.0002183284,0.9740063,0.02282492],"study_design_scores_gemma":[0.00006782063,0.00002471081,0.01783853,0.0004103559,0.00001398601,0.0001191834,0.00006711192,0.0001832198,0.000178373,0.0002130048,0.9808688,0.00001486339],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0007402465,0.002015406,0.0004359044,0.0006632625,0.0005377583,0.0002880078,0.9413397,0.001276414,0.05270338],"genre_scores_gemma":[0.004557834,0.002604854,0.001951146,0.0005324886,0.0001482086,0.0005353429,0.9556553,0.0002725952,0.03374222],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2099937,"threshold_uncertainty_score":0.702499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006718825941933342,"score_gpt":0.1911316411797459,"score_spread":0.1844128152378125,"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."}}