{"id":"W7103652006","doi":"10.15468/dl.6b29sp","title":"Occurrence Download","year":2025,"lang":"","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":[0.0008911,0.001750432,0.001548473,0.005064708,0.001058143,0.002874895,0.00272481,0.001829749,0.1792129],"category_scores_gemma":[0.006185341,0.0009012407,0.001279369,0.009464746,0.0004212389,0.00245288,0.002653548,0.001830431,0.2549001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502976,"about_ca_system_score_gemma":0.002472199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170446,"about_ca_topic_score_gemma":0.03484501,"domain_scores_codex":[0.9989552,0.0001250542,0.0001394948,0.0003728071,0.0002246517,0.0001827765],"domain_scores_gemma":[0.9975529,0.0006356158,0.0002177316,0.0006785518,0.0006564074,0.0002588047],"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":[0.00003008921,0.000009602627,0.0005235369,0.0005602968,0.00001618026,0.000018034,0.00002830207,0.0001311265,0.0001364989,0.000407358,0.9960393,0.002099844],"study_design_scores_gemma":[0.00004996011,0.000006642006,0.001808375,0.0001715232,0.00001323564,0.00003705348,0.00008041938,0.0001543468,0.0001768132,0.0007266672,0.9967588,0.00001614606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004834863,0.00003136704,0.00006354726,0.00003931799,0.00001568336,0.000005702011,0.9983993,0.0005980434,0.000798589],"genre_scores_gemma":[0.0001981194,0.00003994555,0.0002661819,0.00005048406,0.000004408476,0.00004192534,0.998607,0.0002105198,0.000581446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8207871,"threshold_uncertainty_score":0.599527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}