{"id":"W6947740569","doi":"10.3897/zookeys.75.767.maps1-4","title":"Maps 1-4 from: Brunke A, Marshall S (2011) Contributions to the faunistics and bionomics of Staphylinidae (Coleoptera) in northeastern North America: discoveries made through study of the University of Guelph Insect Collection, Ontario, Canada. ZooKeys 75: 29-68. https://doi.org/10.3897/zookeys.75.767","year":2011,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bionomics; Distribution (mathematics); Zoogeography; Biogeography; Aquatic insect","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003061815,0.0009440608,0.0005008868,0.004041577,0.0008828431,0.001506867,0.0009997035,0.0004522611,0.4853719],"category_scores_gemma":[0.002387778,0.000418829,0.0004729042,0.008023568,0.0005283029,0.001039812,0.001123317,0.000777768,0.2285161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694214,"about_ca_system_score_gemma":0.0027123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09428959,"about_ca_topic_score_gemma":0.2078509,"domain_scores_codex":[0.9997179,0.00001844343,0.0000146822,0.0000546943,0.0001368412,0.00005752953],"domain_scores_gemma":[0.9989957,0.000141155,0.0001062863,0.00010242,0.0005116913,0.0001427214],"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":[0.00005177066,0.00001398619,0.0009053879,0.0004972866,0.000007517563,0.00009886594,0.0002006576,0.0001682294,0.0004075264,0.0009033012,0.9552609,0.04148465],"study_design_scores_gemma":[0.00001218437,0.000004836279,0.01053104,0.0001420711,0.000003964603,0.00006742927,0.0001715105,0.00007911002,0.0001776643,0.0004455602,0.9883552,0.000009411913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002706775,0.001538036,0.002495765,0.0008616715,0.0008840231,0.0003722224,0.55195,0.002338765,0.4368528],"genre_scores_gemma":[0.0156754,0.003878503,0.0118973,0.0002562784,0.0003206524,0.000727712,0.5068401,0.001440021,0.4589641],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9057104,"threshold_uncertainty_score":0.7340546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051399515142538,"score_gpt":0.1968537768001002,"score_spread":0.1763397816486748,"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."}}