{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004775447,0.0001693741,0.0002317624,0.003490622,0.0003497884,0.0007943182,0.0002096181,0.0001060814,0.002208227],"category_scores_gemma":[0.0007855289,0.0001232692,0.0002199144,0.003370874,0.0002883232,0.0004933237,0.0004751094,0.0001711596,0.0002101088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004962956,"about_ca_system_score_gemma":0.0003348731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02818481,"about_ca_topic_score_gemma":0.06607348,"domain_scores_codex":[0.9996279,0.00005740149,0.00002426303,0.0001547374,0.00007191402,0.00006375216],"domain_scores_gemma":[0.9991063,0.0001619064,0.0003554419,0.00005115545,0.0002370474,0.00008820546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006253501,0.00001486928,0.964283,0.0001700184,0.0001584481,0.00009407925,0.00180092,0.0001832549,0.002426856,0.0003352683,0.0006563611,0.02981442],"study_design_scores_gemma":[9.948668e-7,0.00001244577,0.99722,0.00002218453,0.00001583287,0.00006107701,0.000641229,0.00005068105,0.00006076091,0.00002920154,0.00188367,0.000001871978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830173,0.00768631,0.000316446,0.0001410276,0.00001273888,0.00001637662,0.001933093,0.00001722532,0.00685933],"genre_scores_gemma":[0.9951479,0.002117899,0.0004974725,0.00003029627,0.00002166896,0.00001592056,0.001493149,0.000004458815,0.0006711785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02818481,"threshold_uncertainty_score":0.05604148,"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."}}