{"id":"W6962271264","doi":"10.15468/dl.z3csq7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Data modeling","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":[0.001152033,0.001946446,0.001752614,0.005523395,0.001061056,0.002979679,0.002979038,0.002013345,0.1948004],"category_scores_gemma":[0.006818609,0.001019035,0.001171695,0.01120623,0.000464967,0.002456022,0.002777362,0.002099389,0.2516499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578649,"about_ca_system_score_gemma":0.002436605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01977636,"about_ca_topic_score_gemma":0.0315902,"domain_scores_codex":[0.9988478,0.0001569777,0.00015368,0.0004000377,0.0002544684,0.0001868878],"domain_scores_gemma":[0.9972643,0.0008159274,0.0002569001,0.0007048718,0.0006538727,0.0003041201],"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":[0.00002729902,0.000009654305,0.0003307763,0.0005706202,0.00001524485,0.00001429551,0.00002487499,0.0001114629,0.0001113402,0.0004117292,0.996963,0.001409763],"study_design_scores_gemma":[0.00006099313,0.000006426618,0.001540397,0.0002008138,0.00001444345,0.00003369164,0.0000698713,0.0001122028,0.0001661197,0.0007779179,0.9970003,0.00001677954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003174227,0.00002517573,0.00004706646,0.00003151892,0.00001098579,0.000004592828,0.9988717,0.0003446278,0.0006325676],"genre_scores_gemma":[0.0001475976,0.0000361995,0.0002002828,0.00004299322,0.000003364055,0.00004187829,0.9988611,0.0001854646,0.0004811643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8051996,"threshold_uncertainty_score":0.6516721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}