{"id":"W6906083697","doi":"10.15468/dl.y4rwt5","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); Confidentiality; Data set","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":[0.000960028,0.001940258,0.001596814,0.004896782,0.0009884872,0.002541248,0.002828974,0.002064963,0.1621624],"category_scores_gemma":[0.005685106,0.0009166599,0.001123708,0.009957019,0.0004541641,0.002342039,0.002537957,0.002011408,0.2276866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503852,"about_ca_system_score_gemma":0.002233383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921022,"about_ca_topic_score_gemma":0.03295968,"domain_scores_codex":[0.9990091,0.000135006,0.0001235099,0.0003532733,0.0002139536,0.0001650825],"domain_scores_gemma":[0.9977213,0.0006309379,0.0002220177,0.00059748,0.0005576411,0.0002705512],"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":[0.00002837209,0.00001155298,0.0003744897,0.0005381026,0.00001483505,0.00001496214,0.00002421033,0.0001254829,0.0001211464,0.0004002377,0.996985,0.001361514],"study_design_scores_gemma":[0.00007085197,0.000007116235,0.001658455,0.0001776875,0.00001306013,0.00003336043,0.00007092336,0.0001302406,0.0001790932,0.0007935279,0.9968489,0.00001683145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003959892,0.00002520861,0.00004223955,0.00003260283,0.00001093733,0.000004863603,0.9988815,0.0003237725,0.0006392649],"genre_scores_gemma":[0.0001606462,0.0000321931,0.0001967959,0.00004468985,0.000003426886,0.00004166271,0.9989097,0.000142259,0.0004685473],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8378376,"threshold_uncertainty_score":0.5424872,"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."}}