{"id":"W2912066012","doi":"10.3897/zookeys.819.31140","title":"Trichoptera of Canada","year":2019,"lang":"en","type":"article","venue":"ZooKeys","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Royal Saskatchewan Museum","funders":"","keywords":"Taxon; DNA barcoding; Larva; Aquatic ecosystem; Ecology; Geography; Biology; Zoology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001774468,0.0004692945,0.0002403911,0.002224733,0.00362703,0.001508732,0.0005966955,0.0002430277,0.02846972],"category_scores_gemma":[0.00070624,0.0001538554,0.0001817117,0.003929852,0.0004679954,0.0005136798,0.0005776117,0.0004889195,0.002920399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01229686,"about_ca_system_score_gemma":0.02581077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869342,"about_ca_topic_score_gemma":0.9946086,"domain_scores_codex":[0.9995209,0.00001900087,0.00001456072,0.00007303533,0.0002361822,0.0001363543],"domain_scores_gemma":[0.9991676,0.00002679525,0.00005266995,0.00001781408,0.0005909591,0.0001442471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003061868,0.00008820384,0.1393664,0.001409186,0.00007686507,0.0008366632,0.00376986,0.0004864828,0.007647615,0.01127437,0.197337,0.6374011],"study_design_scores_gemma":[0.00001540118,0.00004108271,0.4367812,0.0004863136,0.00003247608,0.0004251643,0.002546625,0.000252144,0.0004939457,0.0006809602,0.5582115,0.00003316231],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2016005,0.06247542,0.003320105,0.004938856,0.0006503553,0.0006805442,0.08345488,0.0006446072,0.6422348],"genre_scores_gemma":[0.6851548,0.05370298,0.01026318,0.002505327,0.0001433906,0.0002961555,0.03220122,0.000147551,0.2155853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02846972,"threshold_uncertainty_score":0.09524065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006240046191462451,"score_gpt":0.1794130491450195,"score_spread":0.1731730029535571,"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."}}