{"id":"W6928846640","doi":"10.3897/zookeys.1044.65776.suppl1","title":"Supplementary material 1 from: Hammond HEJ, García-Tejero S, Pohl GR, Langor DW, Spence JR (2021) Spatial and temporal variation of epigaeic beetle assemblages (Coleoptera, Carabidae, Staphylinidae) in aspen-dominated mixedwood forests across north-central Alberta. In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 951-991. https://doi.org/10.3897/zookeys.1044.65776","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Variation (astronomy); Spatial variability; Biodiversity; Vegetation (pathology); Regional variation","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":[0.0008831889,0.001268506,0.001026914,0.002509763,0.00118781,0.003416522,0.001880975,0.001397747,0.9320628],"category_scores_gemma":[0.009209936,0.000599333,0.0006377982,0.003405262,0.0004255589,0.002798422,0.002211787,0.0009817858,0.7191413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860128,"about_ca_system_score_gemma":0.002397144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01482374,"about_ca_topic_score_gemma":0.03021119,"domain_scores_codex":[0.999343,0.00006644956,0.00007182396,0.0001343184,0.0003140662,0.00007040346],"domain_scores_gemma":[0.9969612,0.0009291107,0.0001675181,0.0003113031,0.001310068,0.0003207053],"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":[0.00003204426,0.00001808511,0.0001670302,0.0004919658,0.000005749676,0.00004423142,0.00003311318,0.0000764026,0.00009324804,0.001096029,0.9721959,0.02574611],"study_design_scores_gemma":[0.00002734578,0.000009468069,0.0007057738,0.0002697789,0.000006279389,0.0001298648,0.00003107108,0.00008503313,0.0001470514,0.001949683,0.9966253,0.00001323805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005245121,0.001514713,0.004303092,0.001497506,0.002927332,0.0002290478,0.7757095,0.006477989,0.2068163],"genre_scores_gemma":[0.006094635,0.00299614,0.008451594,0.001369082,0.00072691,0.000574481,0.5619171,0.006842061,0.411028],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9851763,"threshold_uncertainty_score":0.09690416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395890094655196,"score_gpt":0.2319134879890653,"score_spread":0.2179545870425133,"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."}}