{"id":"W6924499918","doi":"10.15468/dl.wd8mqz","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); Identification (biology); State (computer science)","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":[0.001152906,0.002016743,0.001639648,0.00516981,0.001065488,0.002725371,0.002958012,0.002066309,0.1756717],"category_scores_gemma":[0.006551227,0.0009980971,0.001188524,0.01014957,0.0004702297,0.002393103,0.002652819,0.002057509,0.2404833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670268,"about_ca_system_score_gemma":0.002486513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02380289,"about_ca_topic_score_gemma":0.03779445,"domain_scores_codex":[0.9988439,0.0001543226,0.0001508349,0.0004013256,0.0002633413,0.000186114],"domain_scores_gemma":[0.997262,0.000767042,0.0002467557,0.0007225395,0.0007008404,0.0003007773],"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":[0.0000261379,0.00001023888,0.0003391615,0.0004865631,0.00001401923,0.00001442893,0.00002353485,0.0001089342,0.0001088192,0.0003724461,0.9972391,0.001256571],"study_design_scores_gemma":[0.00006662135,0.000006584389,0.001672168,0.0001740112,0.00001348043,0.0000348738,0.00006891131,0.0001307776,0.0001803452,0.0007237282,0.9969112,0.0000172367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003386229,0.00002240008,0.00004627208,0.00003201712,0.00001065596,0.000004979744,0.998855,0.0003599023,0.0006349523],"genre_scores_gemma":[0.0001436429,0.00003000516,0.0001979689,0.00004129953,0.000003142138,0.00004203396,0.9989187,0.0001676816,0.0004556326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8243283,"threshold_uncertainty_score":0.5876803,"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."}}