{"id":"W4243665289","doi":"10.1079/dmpp/20083279222","title":"<i>Anoplophora glabripennis</i> . [Distribution map].","year":2008,"lang":"en","type":"article","venue":"Distribution Maps of Plant Pests","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Geography; Longhorn beetle; Distribution (mathematics); Forestry; Environmental protection; Biology; Ecology; 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":[0.0001517058,0.001830984,0.0007291297,0.004140058,0.0004061284,0.0007058481,0.001172858,0.000412346,0.2192158],"category_scores_gemma":[0.000395232,0.0003793009,0.0003768006,0.006794612,0.0003150573,0.001013874,0.0005900299,0.0006191641,0.1178995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005265378,"about_ca_system_score_gemma":0.0005218541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04031326,"about_ca_topic_score_gemma":0.02974816,"domain_scores_codex":[0.9998627,0.00001240046,0.00001337557,0.0000326769,0.00004688912,0.00003198716],"domain_scores_gemma":[0.9996118,0.00004774976,0.00009692107,0.00001725161,0.0001669801,0.000059404],"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":[0.00008467939,0.00003073217,0.002323736,0.001543054,0.00002432349,0.00009149365,0.00007991413,0.0002488213,0.0008248364,0.0004080083,0.9375382,0.05680213],"study_design_scores_gemma":[0.00007280408,0.000030358,0.03164405,0.0002274877,0.00001187115,0.000157501,0.00007634663,0.0003128672,0.0001888192,0.0002450176,0.9670155,0.00001749424],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003140661,0.003169207,0.001040812,0.0008545368,0.0005815642,0.0005722586,0.8424098,0.002200092,0.1460311],"genre_scores_gemma":[0.01536614,0.003877047,0.004080953,0.0006225529,0.0002539928,0.0005438201,0.9168604,0.0003486086,0.0580465],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2192158,"threshold_uncertainty_score":0.7333499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008643311057829988,"score_gpt":0.1968208513582326,"score_spread":0.1881775403004026,"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."}}