{"id":"W4386948947","doi":"10.21203/rs.3.rs-2180975/v2","title":"Global Arthropod beta-diversity is spatially and temporally structured by latitude","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cascades (Canada); Stanley Park Ecology Society; Espace pour la vie; University of Guelph","funders":"","keywords":"Species richness; Beta diversity; Biodiversity; Gamma diversity; Ecology; Alpha diversity; Taxon; Latitude; Nestedness; Distance decay; Geography; Species diversity; Spatial ecology; Biology; Spatial variability; Index of dissimilarity; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.000292829,0.0001252503,0.0002021971,0.0005196183,0.0001222185,0.0006611667,0.0001138102,0.0001803804,0.001678076],"category_scores_gemma":[0.00113895,0.0001862137,0.0001988474,0.0007769098,0.000380189,0.0004347384,0.0002507329,0.0001945579,0.0002704786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366875,"about_ca_system_score_gemma":0.00007585303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002470396,"about_ca_topic_score_gemma":0.004346313,"domain_scores_codex":[0.9998931,0.00002078651,0.000004617372,0.00005293432,0.00001092646,0.00001757106],"domain_scores_gemma":[0.998915,0.0005079873,0.0002941573,0.00009725308,0.000101143,0.00008455523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002760561,0.00002021944,0.9619262,0.00004859389,0.0002710872,0.00008936309,0.0004339449,0.001402603,0.02148621,0.0005732341,0.0006044493,0.01286806],"study_design_scores_gemma":[0.000003339519,0.00000846281,0.9985976,0.000002372889,0.00002086591,0.00003397647,0.0000800949,0.0005291245,0.0001693544,0.0002988953,0.0002530912,0.000002794328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980677,0.0003567699,0.0004417015,0.00007761506,0.000005182107,5.335493e-7,0.0002914463,0.00001233466,0.0007467578],"genre_scores_gemma":[0.9993316,0.0001432357,0.0000903129,0.00001469046,0.000006672296,7.784203e-7,0.0001956687,0.000006633201,0.0002103466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002470396,"threshold_uncertainty_score":0.005613744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09620671515056013,"score_gpt":0.3672567505767587,"score_spread":0.2710500354261985,"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."}}