{"id":"W6962161586","doi":"10.15468/dl.pvs4u5","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":"Download; Matching (statistics); Range (aeronautics); Data file; Data source","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":[0.000955654,0.002050174,0.001631048,0.004709525,0.0009844314,0.002398741,0.002842438,0.002061207,0.1446487],"category_scores_gemma":[0.005328941,0.0009210049,0.001223056,0.009633447,0.0004707333,0.002174941,0.002554413,0.002028515,0.2082635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635549,"about_ca_system_score_gemma":0.002359657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02434271,"about_ca_topic_score_gemma":0.03990137,"domain_scores_codex":[0.9990404,0.000126417,0.0001204,0.0003275058,0.0002184203,0.0001668431],"domain_scores_gemma":[0.9979108,0.0005657531,0.0001991802,0.0005616329,0.0005176057,0.0002451146],"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":[0.00003122886,0.00001230583,0.0004092762,0.0005672011,0.00001667449,0.00001708207,0.00002925226,0.0001514442,0.0001472155,0.0004139782,0.996672,0.001532319],"study_design_scores_gemma":[0.00007006645,0.000007562199,0.001821571,0.0001796853,0.00001407215,0.00003748284,0.00007648666,0.0001583586,0.0002080505,0.0006887717,0.9967204,0.00001751524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004798457,0.00002722163,0.00004925709,0.0000326801,0.00001152856,0.000005371125,0.9987684,0.0004270795,0.0006304753],"genre_scores_gemma":[0.0001605185,0.00003002344,0.00020309,0.00003807656,0.000002824768,0.00003955109,0.9989709,0.0001540537,0.0004009742],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8553513,"threshold_uncertainty_score":0.483898,"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."}}