{"id":"W6961988647","doi":"10.15468/dl.uq35e5","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":"Matching (statistics); Download; Range (aeronautics); 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":[0.0009602568,0.002125352,0.001664319,0.005071113,0.0009950944,0.002676098,0.00289295,0.001906921,0.1683603],"category_scores_gemma":[0.005859044,0.0009851243,0.001235884,0.01016994,0.0004231228,0.00245664,0.002697435,0.001915883,0.2330033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153861,"about_ca_system_score_gemma":0.00236867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02007493,"about_ca_topic_score_gemma":0.0350996,"domain_scores_codex":[0.9988844,0.000156071,0.000149149,0.0003995651,0.0002299129,0.0001808535],"domain_scores_gemma":[0.9975273,0.0006623461,0.0002330212,0.0006452055,0.0006429654,0.0002890619],"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":[0.00003332176,0.00001083983,0.0003302317,0.0005622453,0.000015153,0.00001353037,0.00002017589,0.000108563,0.0001135266,0.0003679965,0.997023,0.001401348],"study_design_scores_gemma":[0.00006976006,0.000008618437,0.00158932,0.000172626,0.00001399943,0.00003368329,0.00005510891,0.0001210391,0.0001743173,0.000765124,0.9969786,0.00001780067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003705843,0.00002794544,0.0000410226,0.00003198477,0.0000115835,0.000005092349,0.9988455,0.000345985,0.0006537781],"genre_scores_gemma":[0.0001416,0.00003659173,0.0001874239,0.00005110976,0.000003620785,0.00004058487,0.9988797,0.000144779,0.000514566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8316397,"threshold_uncertainty_score":0.5632213,"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."}}