{"id":"W6887052544","doi":"10.15468/dl.ke3t97","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009039035,0.001832546,0.001543371,0.004914384,0.00103395,0.00293222,0.002697853,0.001841674,0.1965917],"category_scores_gemma":[0.006103159,0.0009114966,0.001352744,0.00987777,0.0004147018,0.002516708,0.002769933,0.001911497,0.277703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143901,"about_ca_system_score_gemma":0.002326382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000111,"about_ca_topic_score_gemma":0.03156356,"domain_scores_codex":[0.9989643,0.0001271083,0.0001320548,0.0003664219,0.0002256363,0.00018444],"domain_scores_gemma":[0.997525,0.0006587621,0.0002042557,0.0006848647,0.0006670561,0.0002598778],"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":[0.00002843309,0.000009475687,0.000439676,0.00052195,0.00001492843,0.00001639902,0.00002649369,0.0001280123,0.0001244133,0.000397506,0.996296,0.001996655],"study_design_scores_gemma":[0.00005014005,0.0000066232,0.00167391,0.0001590196,0.00001239978,0.00003453043,0.00007543852,0.0001627715,0.0001739413,0.0007861942,0.996849,0.00001600865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004677048,0.00003058324,0.00006739169,0.0000428711,0.00001682934,0.000005866586,0.9982558,0.0006683611,0.0008656043],"genre_scores_gemma":[0.0001954549,0.00004218387,0.0002760813,0.00005417591,0.000004879907,0.00004374752,0.9984863,0.000259062,0.0006381191],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8034083,"threshold_uncertainty_score":0.6576648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}