{"id":"W6924481406","doi":"10.15468/dl.z3sbwh","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); 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":[0.001095458,0.002124402,0.001730433,0.005411387,0.001065488,0.002820371,0.00293798,0.002183141,0.1655558],"category_scores_gemma":[0.006567223,0.0009719432,0.001198341,0.01063895,0.0004623455,0.002523224,0.002624566,0.0021251,0.2414063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667924,"about_ca_system_score_gemma":0.002484846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02185179,"about_ca_topic_score_gemma":0.0350348,"domain_scores_codex":[0.9988443,0.000162677,0.000145404,0.0004074512,0.000253316,0.0001869137],"domain_scores_gemma":[0.9972804,0.0007899966,0.0002510136,0.0006965345,0.0006738023,0.0003082786],"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":[0.00003062658,0.0000110298,0.0003320933,0.00056633,0.00001467806,0.00001461576,0.00002235804,0.0001134483,0.0001109611,0.0003844081,0.9971175,0.001281836],"study_design_scores_gemma":[0.0000734383,0.000007773933,0.001666227,0.0001941296,0.00001422785,0.00003391401,0.00006644988,0.0001330444,0.0001847607,0.0008071968,0.9968008,0.00001809544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003428059,0.00002598751,0.00004122452,0.00003206252,0.00000993816,0.00000475954,0.9988889,0.0003495215,0.0006133723],"genre_scores_gemma":[0.0001449148,0.0000332886,0.0001782061,0.00004421435,0.000003304459,0.00004065269,0.9989263,0.0001550774,0.0004738489],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8344442,"threshold_uncertainty_score":0.5538393,"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."}}