{"id":"W7101446393","doi":"10.15468/dl.dbeq4g","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008953989,0.001746764,0.001465398,0.004414984,0.0009861168,0.002811331,0.002744303,0.001795224,0.167409],"category_scores_gemma":[0.006020388,0.0008804473,0.001252009,0.008314064,0.0004011899,0.002441057,0.002550791,0.00193166,0.2438868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538462,"about_ca_system_score_gemma":0.002345652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214062,"about_ca_topic_score_gemma":0.03365231,"domain_scores_codex":[0.9990135,0.0001240268,0.0001319284,0.0003504894,0.0002111989,0.0001688449],"domain_scores_gemma":[0.9977276,0.0005933253,0.0002006664,0.0006332722,0.0005957219,0.0002494634],"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":[0.00002947923,0.000009473628,0.0004467746,0.000491634,0.00001487822,0.00001626393,0.00002575022,0.0001299759,0.000117213,0.0004215608,0.9964253,0.001871689],"study_design_scores_gemma":[0.00005419855,0.000005865038,0.00164132,0.000146658,0.00001119418,0.000031992,0.00006855758,0.0001641062,0.0001752376,0.0007506304,0.9969355,0.00001461532],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004344865,0.00002646845,0.00006413143,0.00003895399,0.00001393642,0.000005724591,0.9983976,0.0006255013,0.0007842018],"genre_scores_gemma":[0.0001894074,0.00003602208,0.0002645525,0.00005016671,0.000004089166,0.00004344703,0.998643,0.0002166207,0.0005526886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.167409,"threshold_uncertainty_score":0.5600389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779044216349616,"score_gpt":0.224014738620866,"score_spread":0.2062242964573698,"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."}}