{"id":"W6943514562","doi":"10.15468/dl.gz6bsz","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); Order (exchange); Confidentiality","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":[0.001009385,0.001874193,0.001544015,0.005045237,0.00104731,0.002741948,0.002792405,0.001981374,0.1761889],"category_scores_gemma":[0.007351866,0.0009076016,0.001231114,0.009527186,0.0004432994,0.002443946,0.002690685,0.001926646,0.2389269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603373,"about_ca_system_score_gemma":0.002493933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0255914,"about_ca_topic_score_gemma":0.0392138,"domain_scores_codex":[0.998923,0.0001398607,0.0001421235,0.0003755807,0.0002442263,0.0001751179],"domain_scores_gemma":[0.9972057,0.0008465324,0.0002329728,0.0007183112,0.0007107545,0.0002856819],"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":[0.00002475702,0.00000942833,0.0003893313,0.0004942999,0.00001326085,0.00001470594,0.00002582775,0.0001036095,0.00009820086,0.0003621592,0.9970149,0.001449515],"study_design_scores_gemma":[0.0000555986,0.000006686153,0.001771751,0.0001956975,0.00001374306,0.00003543295,0.00007953453,0.0001413516,0.0001723377,0.0007254557,0.9967859,0.0000166777],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004145598,0.00002730453,0.00005080238,0.00004058853,0.00001320254,0.0000052894,0.998625,0.0004936805,0.0007026347],"genre_scores_gemma":[0.0001739829,0.00003495069,0.0002182962,0.00004920069,0.000003835108,0.00004204403,0.9987368,0.0002063803,0.0005344639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8238111,"threshold_uncertainty_score":0.5894106,"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."}}