{"id":"W6941709909","doi":"10.1371/journal.pone.0096611.t004","title":"Summary data for the 13,768 interceptions of bark- and wood-infesting insects in WPM at US ports during 1984–2008 by country of origin and insect family or subfamily (Source = USDA APHIS PestID database).","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curculionidae; Weevil; Subfamily; Aphis; Insect; PEST analysis","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":[0.0007267316,0.0008710934,0.0009010058,0.004231258,0.000352783,0.001098839,0.001369997,0.000743485,0.05400924],"category_scores_gemma":[0.005265334,0.0005023068,0.0007125706,0.00906828,0.0001988816,0.0008185406,0.0009737353,0.0009224562,0.02551038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236368,"about_ca_system_score_gemma":0.002095127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04803925,"about_ca_topic_score_gemma":0.0647369,"domain_scores_codex":[0.9992466,0.00007124313,0.0001615326,0.0002378583,0.0001853618,0.00009739926],"domain_scores_gemma":[0.9967555,0.0009460812,0.0008513659,0.0003819096,0.000874033,0.0001909937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001036543,0.00002712391,0.01077515,0.002005154,0.000116547,0.00003717369,0.00004046337,0.0005960532,0.0001482619,0.0006149466,0.9814216,0.004113838],"study_design_scores_gemma":[0.0002983257,0.00003155514,0.08403216,0.001235344,0.0001516144,0.00009728923,0.0002144655,0.0004638644,0.0004458295,0.0006201686,0.912376,0.00003327777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002539306,0.00005005018,0.00001703562,0.00001851249,0.000006040501,0.00000323829,0.9993475,0.00002216237,0.0002814935],"genre_scores_gemma":[0.001351822,0.00009564106,0.0001002632,0.00002434656,0.000004781009,0.00003669474,0.9977474,0.00001411271,0.0006250043],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05400924,"threshold_uncertainty_score":0.1806789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.074005042190333,"score_gpt":0.2637998294542957,"score_spread":0.1897947872639627,"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."}}