{"id":"W6943266840","doi":"10.15468/dl.k3u6yt","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); 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":[0.0009226385,0.002035846,0.001599957,0.004743853,0.0009691609,0.002541091,0.002676524,0.001971222,0.1555782],"category_scores_gemma":[0.005992125,0.0009079882,0.001235152,0.009334449,0.0004245874,0.002208337,0.002481208,0.001885632,0.2137996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502927,"about_ca_system_score_gemma":0.002259889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002689,"about_ca_topic_score_gemma":0.03297036,"domain_scores_codex":[0.9989669,0.0001398386,0.0001311973,0.0003763493,0.0002170604,0.0001685421],"domain_scores_gemma":[0.997691,0.0006804261,0.0002221306,0.000579915,0.0005697543,0.0002566394],"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":[0.00003143405,0.0000113447,0.0003996558,0.0005669472,0.00001525053,0.00001462127,0.00002083666,0.0001317195,0.0001150337,0.0003543406,0.9968718,0.001467145],"study_design_scores_gemma":[0.00007631296,0.00001024572,0.001900803,0.0001994831,0.00001598464,0.00003837801,0.00006502876,0.0001662545,0.0001899601,0.0008236975,0.9964951,0.00001890863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004321174,0.00002905333,0.00004262177,0.00003549911,0.00001260223,0.000005098713,0.9988508,0.0003726103,0.0006084867],"genre_scores_gemma":[0.0001635348,0.000036278,0.0001992318,0.00004934142,0.000003743714,0.00004341825,0.9988672,0.0001488427,0.0004884886],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8444217,"threshold_uncertainty_score":0.5204611,"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."}}