{"id":"W6905673992","doi":"10.15468/dl.kg7qjn","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; Elevation (ballistics); Coordinate system; Footprint; Georeference; Taxon; Matching (statistics); Digital elevation model","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":["insufficient_payload"],"category_scores_codex":[0.000906058,0.001957611,0.001923261,0.006775547,0.001371581,0.00392542,0.002171959,0.001928389,0.4406581],"category_scores_gemma":[0.006201365,0.0009350882,0.001588582,0.009315525,0.0003481,0.003079318,0.003339786,0.001955176,0.4782132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498517,"about_ca_system_score_gemma":0.002593664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02333355,"about_ca_topic_score_gemma":0.04023179,"domain_scores_codex":[0.9988022,0.0001296369,0.0001832406,0.0003748232,0.0002857096,0.0002243709],"domain_scores_gemma":[0.99684,0.0008250182,0.0002276555,0.000733411,0.0009506766,0.0004231996],"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":[0.00004531283,0.00001395166,0.0003539252,0.0005039943,0.00001210406,0.00002044863,0.0000287781,0.00009931327,0.0001132334,0.0005547053,0.9940597,0.004194529],"study_design_scores_gemma":[0.00005468909,0.00000890919,0.001493381,0.000164906,0.00001246854,0.00003820255,0.00008606674,0.0001744988,0.0001392904,0.001099358,0.9967061,0.00002218905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005995371,0.0000423101,0.0001264178,0.00005661944,0.00003620232,0.00001151188,0.9946409,0.001422033,0.003603941],"genre_scores_gemma":[0.0003224774,0.00007250391,0.0006635727,0.0001109115,0.00001420498,0.00005846575,0.9956217,0.0005748661,0.002561135],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5593419,"threshold_uncertainty_score":0.7978333,"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."}}