{"id":"W6905988054","doi":"10.15468/dl.cztxyv","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Fauna; Nova scotia","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001032871,0.001843765,0.001433777,0.005233777,0.000823523,0.002493468,0.002517343,0.001851008,0.1835099],"category_scores_gemma":[0.006242191,0.0008882729,0.001194877,0.009626762,0.0004073649,0.002346387,0.00277505,0.001803115,0.2346945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001448109,"about_ca_system_score_gemma":0.002256905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924071,"about_ca_topic_score_gemma":0.03183542,"domain_scores_codex":[0.9989064,0.000142919,0.0001549661,0.0003716572,0.0002408235,0.000183306],"domain_scores_gemma":[0.9972475,0.000726211,0.0002696067,0.0007435993,0.0006792479,0.0003337375],"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":[0.00003031628,0.00001067369,0.0003753377,0.0005780972,0.00001591267,0.00001440535,0.0000231409,0.0001191175,0.0001312924,0.0003737131,0.9967705,0.001557428],"study_design_scores_gemma":[0.00006850977,0.000008707599,0.002040367,0.0001963653,0.00001372708,0.00003275912,0.00006565683,0.0001327718,0.0001973165,0.0007139758,0.9965131,0.00001671676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003797072,0.00002157077,0.00004259241,0.00003162948,0.00001180877,0.000005741301,0.9988626,0.0003773574,0.0006087002],"genre_scores_gemma":[0.0001635029,0.0000306556,0.0002000175,0.00004542108,0.000003670614,0.00004104267,0.9989043,0.0001534743,0.0004578169],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8164901,"threshold_uncertainty_score":0.6139017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}