{"id":"W6947478752","doi":"10.3897/zookeys.573.7016.figures170-177","title":"Figures 170-177 from: Webster RP, Klimaszewski J, Bourdon C, Sweeney JD, Hughes CC, Labrecque M (2016) Further contributions to the Aleocharinae (Coleoptera, Staphylinidae) fauna of New Brunswick and Canada including descriptions of 27 new species. In: Webster RP, Bouchard P, Klimaszewski J (Eds) The Coleoptera of New Brunswick and Canada: providing baseline biodiversity and natural history data. ZooKeys 573: 85–216. https://doi.org/10.3897/zookeys.573.7016","year":2016,"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":"Aedeagus; Habitus; Dorsum; Scale (ratio); Fauna","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004262788,0.0003797156,0.0004861395,0.0001832114,0.0003945825,0.0001137772,0.0009779419,0.0002103273,0.006155064],"category_scores_gemma":[0.0003952075,0.0002992751,0.00006467913,0.0001422305,0.0003959037,0.0000482739,0.001180654,0.000372195,0.00008114897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002996623,"about_ca_system_score_gemma":0.001174381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9084293,"about_ca_topic_score_gemma":0.8429247,"domain_scores_codex":[0.9975937,0.0003179027,0.0005441297,0.0007079049,0.0004034945,0.0004328425],"domain_scores_gemma":[0.9980633,0.00006760011,0.0004118878,0.0007727179,0.0003665512,0.0003179526],"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":[0.000420545,0.0000934347,0.005014009,0.00016937,0.000265626,0.000007700835,0.000701188,0.00000446984,0.009617405,0.00008071034,0.9801453,0.003480284],"study_design_scores_gemma":[0.001962414,0.0001787977,0.01069171,0.0003333903,0.0001022699,0.000002634406,0.0002089185,0.0000243848,0.002891321,0.000006656562,0.9832586,0.0003389081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7611417,0.04507311,0.003901571,0.02286146,0.002752971,0.007314325,0.008876825,0.0002512572,0.1478267],"genre_scores_gemma":[0.5223681,0.006562337,0.0003916377,0.001222838,0.001088069,4.15306e-7,0.003465808,0.0008929929,0.4640079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3161811,"threshold_uncertainty_score":0.9999459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0324539924912102,"score_gpt":0.2289126980168313,"score_spread":0.1964587055256211,"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."}}