{"id":"W6948345459","doi":"10.5061/dryad.qz612jm9t","title":"Data from: Down by the riverside: Riparian edge effects on three monkey species in a fragmented Costa Rican forest","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Riparian zone; Transect; Generalist and specialist species; Riparian forest; Habitat; Species richness; Vegetation (pathology)","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":[0.0002301277,0.000140077,0.000168138,0.0005281503,0.0003174924,0.0003489185,0.0001799518,0.000142059,0.001890866],"category_scores_gemma":[0.0006409111,0.00008359156,0.0001563397,0.0006390638,0.0001303842,0.0001244701,0.0003863548,0.0001411779,0.0003630753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003334088,"about_ca_system_score_gemma":0.0001685119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05037458,"about_ca_topic_score_gemma":0.1441213,"domain_scores_codex":[0.9998281,0.00005456767,0.00001493673,0.00004815809,0.00003053639,0.00002368317],"domain_scores_gemma":[0.9993157,0.0001235342,0.0002467993,0.00008514023,0.0001466715,0.00008213484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007884029,0.00002045434,0.9917142,0.00002616872,0.00005037057,0.00006111759,0.0003745036,0.0001577225,0.0008460067,0.00002163583,0.00129641,0.00535258],"study_design_scores_gemma":[0.000001325435,0.000005233764,0.9991523,0.000002487324,0.00000580674,0.00001205697,0.0001028232,0.0001041525,0.00003843092,0.000003494801,0.0005707133,0.00000103427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9933243,0.00007067226,0.00008854064,0.00002792426,0.000001910361,0.00001089051,0.004922562,0.00001701765,0.00153619],"genre_scores_gemma":[0.9896034,0.00007269953,0.0003024137,0.00003266136,0.00000459254,0.00004486673,0.008473995,0.00001280573,0.001452616],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05037458,"threshold_uncertainty_score":0.1001627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06003856528847037,"score_gpt":0.2492711235716695,"score_spread":0.1892325582831992,"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."}}