{"id":"W7095978611","doi":"","title":"Research Regional Diversity of Insects in North America","year":2016,"lang":"en","type":"article","venue":"","topic":"Collembola Taxonomy and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Species diversity; Distribution (mathematics); Diversity (politics); Species richness; Global biodiversity; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001382249,0.00003102415,0.00007991338,0.0000144245,0.0001667804,0.00000158233,0.0001244816,0.00002432211,0.000520495],"category_scores_gemma":[0.00004389201,0.000007969387,0.00002269653,0.0003606215,0.0001718454,0.0000422821,0.0003243648,0.00004039002,0.00003263077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001857438,"about_ca_system_score_gemma":0.000004236504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001352503,"about_ca_topic_score_gemma":0.07178928,"domain_scores_codex":[0.9995189,0.00005572505,0.00006830454,0.0001099076,0.00009528812,0.0001518362],"domain_scores_gemma":[0.9994412,0.0004475171,0.00001782779,0.00001946877,0.00005053097,0.00002347705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003033534,0.00004951517,0.954836,6.921148e-7,0.000004080724,0.000001665081,0.00006705547,1.322085e-7,0.0009993303,0.0001006864,0.003569982,0.0403406],"study_design_scores_gemma":[0.00007314566,0.0001268409,0.9746804,0.000002814919,4.570996e-7,1.927101e-7,0.0005620039,4.071127e-7,0.00007394623,0.0001698495,0.02428037,0.00002960123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906773,0.00002224653,3.898188e-7,0.003617974,0.00001492028,0.00005950766,0.000005017534,0.00000670368,0.005595949],"genre_scores_gemma":[0.9991439,0.00009016006,0.00001446507,0.00008338915,0.00002368833,0.000004939384,8.307765e-7,5.365542e-8,0.0006385684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07043678,"threshold_uncertainty_score":0.9451482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183564362351784,"score_gpt":0.2598641655425969,"score_spread":0.1415077293074185,"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."}}