{"id":"W6902036736","doi":"10.6084/m9.figshare.26724215.v1","title":"Additional file 1 of Environmental drivers of tree species richness in the southernmost portion of the Paranaense forests","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Scarabaeidae Beetle Taxonomy and Biogeography","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Species richness; Table (database); Tree (set theory); Biodiversity; Taxon; Species diversity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009751525,0.0006492278,0.0008584429,0.001957434,0.0008953222,0.001110269,0.001686708,0.0006169269,0.8467541],"category_scores_gemma":[0.01583804,0.0003589001,0.0005190055,0.004799795,0.0002137002,0.001730931,0.0009840623,0.0007015307,0.134092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000779252,"about_ca_system_score_gemma":0.001482358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02889935,"about_ca_topic_score_gemma":0.04407861,"domain_scores_codex":[0.9996062,0.00007301663,0.00005818419,0.0001022983,0.00008846294,0.00007194236],"domain_scores_gemma":[0.9899747,0.00730257,0.000586607,0.0004596292,0.001366551,0.0003099022],"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":[0.00008771296,0.00006830761,0.006414908,0.001181899,0.00002646668,0.00004671814,0.000136003,0.0004177998,0.00004674122,0.0006204144,0.9847879,0.006165093],"study_design_scores_gemma":[0.002895931,0.00025408,0.1627833,0.003355793,0.0002088349,0.0006954463,0.00287575,0.004024168,0.0006354421,0.009466186,0.8126333,0.0001718305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000268169,0.000006747254,0.00007782579,0.00003742243,0.000006104688,0.0000230089,0.9989896,0.00005818818,0.000532742],"genre_scores_gemma":[0.01578872,0.00009479354,0.002487565,0.0001971184,0.00004820199,0.001117712,0.9723662,0.0003646931,0.007534995],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8467541,"threshold_uncertainty_score":0.2185866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01450018145201775,"score_gpt":0.1647468888105492,"score_spread":0.1502467073585315,"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."}}