{"id":"W7104507403","doi":"10.15468/dl.8emwc7","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":[],"consensus_categories":[],"category_scores_codex":[0.0009149375,0.001795994,0.001567558,0.005039704,0.001076418,0.002953087,0.002745617,0.001856372,0.1853317],"category_scores_gemma":[0.006392044,0.0009162439,0.001292778,0.009396922,0.0004153494,0.002513207,0.002675892,0.001883587,0.2594148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532151,"about_ca_system_score_gemma":0.002482547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02219144,"about_ca_topic_score_gemma":0.03511458,"domain_scores_codex":[0.9989255,0.0001302725,0.0001404605,0.0003855656,0.0002301358,0.0001879486],"domain_scores_gemma":[0.9974909,0.0006657454,0.0002186177,0.0006822231,0.000678458,0.0002640207],"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":[0.00002998353,0.00000931361,0.0004809407,0.0005374695,0.00001537437,0.0000171955,0.00002670356,0.0001239662,0.0001289838,0.0003972269,0.9962613,0.001971501],"study_design_scores_gemma":[0.00005084583,0.000006497345,0.001728775,0.0001662298,0.00001301022,0.00003515249,0.00007771518,0.00015289,0.0001780537,0.0007417481,0.9968328,0.00001626906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004520941,0.00002966868,0.00006329687,0.00004019819,0.00001568089,0.000005709685,0.9983681,0.000618178,0.0008139863],"genre_scores_gemma":[0.0001921208,0.00003896457,0.0002637887,0.00005269178,0.000004536287,0.0000426641,0.9985879,0.000223928,0.0005934506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1853317,"threshold_uncertainty_score":0.6199962,"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."}}