{"id":"W6905865383","doi":"10.15468/dl.r274u3","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); Alien","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":[0.001008678,0.001848193,0.001534927,0.005155887,0.0009882188,0.002682284,0.002660853,0.001938741,0.1800986],"category_scores_gemma":[0.006317507,0.0009006668,0.001207041,0.009987873,0.0004376904,0.002275692,0.002541932,0.001982789,0.2430181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524235,"about_ca_system_score_gemma":0.002306626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02057101,"about_ca_topic_score_gemma":0.03240582,"domain_scores_codex":[0.9990048,0.0001393399,0.0001249733,0.0003518458,0.000216132,0.0001629699],"domain_scores_gemma":[0.9974626,0.0007795411,0.000224299,0.0006357607,0.0006197736,0.000277999],"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":[0.00002419216,0.00001021965,0.0003675455,0.0005244308,0.00001369266,0.000013935,0.00002375891,0.0001113004,0.0001046917,0.0003555326,0.9970589,0.001391869],"study_design_scores_gemma":[0.00006351456,0.000007949568,0.001844413,0.0002126886,0.00001438951,0.00003536898,0.00007965325,0.0001414232,0.000170225,0.0007492442,0.9966643,0.00001685898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003770039,0.00002664861,0.00004284013,0.00003769539,0.00001253166,0.000005306974,0.9988635,0.0003402907,0.0006334999],"genre_scores_gemma":[0.0001593651,0.00003770074,0.0001992645,0.00005058507,0.000003986075,0.00004873212,0.9988042,0.0001595554,0.0005365617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8199013,"threshold_uncertainty_score":0.6024899,"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."}}