{"id":"W6906016033","doi":"10.15468/dl.suk9sc","title":"Occurrence Download","year":2025,"lang":"en","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.00083224,0.002072141,0.001432255,0.004155457,0.0009252271,0.002291155,0.002745801,0.001825236,0.1377218],"category_scores_gemma":[0.005412858,0.0008672944,0.001235648,0.008396084,0.0004147113,0.002177213,0.002335335,0.001855935,0.1891254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627535,"about_ca_system_score_gemma":0.002325937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02632272,"about_ca_topic_score_gemma":0.04343092,"domain_scores_codex":[0.999044,0.0001229423,0.0001255096,0.000335695,0.0002199227,0.0001517929],"domain_scores_gemma":[0.9979317,0.0005543847,0.0001964625,0.0005316866,0.0005434693,0.0002423474],"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":[0.00003024389,0.00001151612,0.0003643988,0.0004447173,0.00001354784,0.00001436736,0.00002074218,0.0001333253,0.0001071542,0.0003793535,0.9970303,0.001450252],"study_design_scores_gemma":[0.00008132492,0.000009249655,0.00184046,0.0001570536,0.00001357772,0.00004037399,0.00006257713,0.0002156826,0.000203191,0.0008288887,0.9965299,0.00001773211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000520311,0.00002858524,0.00005302692,0.00003875931,0.00001237696,0.000005787555,0.998514,0.000569215,0.0007263286],"genre_scores_gemma":[0.0001639084,0.0000334315,0.000223016,0.00004731402,0.000003220076,0.00003616731,0.9988631,0.0001693595,0.0004605524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622782,"threshold_uncertainty_score":0.4607252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583313752165829,"score_gpt":0.2207073729463884,"score_spread":0.2048742354247301,"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."}}