{"id":"W6905965995","doi":"10.15468/dl.s2z639","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; The Internet","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":[0.0009914562,0.001947675,0.001557926,0.004957616,0.001082208,0.002745129,0.002984493,0.00217744,0.168451],"category_scores_gemma":[0.006106134,0.0008999145,0.001264275,0.009378612,0.0004459152,0.002583417,0.002636147,0.002124632,0.2408983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617006,"about_ca_system_score_gemma":0.002369514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01971856,"about_ca_topic_score_gemma":0.03379165,"domain_scores_codex":[0.9989163,0.0001587822,0.0001374195,0.0003866116,0.0002297296,0.0001712359],"domain_scores_gemma":[0.997607,0.0006920413,0.0002036712,0.0006314059,0.000605071,0.0002607077],"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":[0.00002568041,0.00001159326,0.0003291632,0.0005033729,0.00001258849,0.00001418183,0.00002094601,0.0001065422,0.00009516713,0.0003541314,0.9971159,0.00141075],"study_design_scores_gemma":[0.00006184429,0.00000818339,0.001555518,0.0001941347,0.00001274729,0.00003614081,0.00007499092,0.0001483519,0.0001691225,0.0008040887,0.9969174,0.00001743307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004114169,0.00003002098,0.00005034372,0.00004431959,0.00001420684,0.000006518016,0.9986947,0.0004032882,0.0007154406],"genre_scores_gemma":[0.0001493553,0.00003654043,0.0002090773,0.00005181525,0.000003938156,0.00004946415,0.9988167,0.0001449449,0.0005381317],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315489,"threshold_uncertainty_score":0.5635248,"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."}}