{"id":"W6886940032","doi":"10.15468/dl.bvdw33","title":"Occurrence Download","year":2024,"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); Data set; Set (abstract data type)","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":[0.0009751382,0.00194051,0.001584013,0.005328623,0.001001957,0.00259979,0.002893242,0.001989825,0.1655581],"category_scores_gemma":[0.006139491,0.0009333058,0.001218555,0.01038876,0.0004531237,0.002232911,0.002825446,0.001950167,0.2309011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591162,"about_ca_system_score_gemma":0.002539542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02364431,"about_ca_topic_score_gemma":0.03819676,"domain_scores_codex":[0.9989002,0.0001403801,0.0001374094,0.0003684584,0.0002612077,0.0001922538],"domain_scores_gemma":[0.9974578,0.0006518088,0.0002359428,0.0006904487,0.0006592701,0.0003048598],"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":[0.00003165273,0.00001097086,0.0003777863,0.0005644379,0.0000158697,0.00001453346,0.00002303815,0.0001099541,0.0001312394,0.000384537,0.9968055,0.001530449],"study_design_scores_gemma":[0.00006625491,0.000007293863,0.001781052,0.0001832741,0.00001421924,0.0000334,0.00006469766,0.0001160149,0.0001964268,0.0007196095,0.9968015,0.00001638111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004170914,0.00002715774,0.00004168321,0.00003235857,0.00001046793,0.000005148248,0.9987696,0.0003958094,0.0006760922],"genre_scores_gemma":[0.0001469639,0.00003233866,0.0001684723,0.00004203437,0.000003059044,0.00003632592,0.9989807,0.0001473525,0.0004426997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8344419,"threshold_uncertainty_score":0.553847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}