{"id":"W6887209197","doi":"10.15468/dl.ttzptn","title":"Occurrence Download","year":2023,"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":[0.0009325685,0.001935887,0.001555543,0.004812303,0.0009931007,0.002469033,0.002673803,0.002079161,0.1479371],"category_scores_gemma":[0.005583472,0.0008897036,0.001282597,0.009404914,0.0004429655,0.002220964,0.002445451,0.001920586,0.2168758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153963,"about_ca_system_score_gemma":0.002243354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02262247,"about_ca_topic_score_gemma":0.03521642,"domain_scores_codex":[0.9989991,0.000135342,0.0001260204,0.0003519815,0.0002224452,0.0001652124],"domain_scores_gemma":[0.9975567,0.000714477,0.0002210843,0.0006486505,0.0005846092,0.0002744373],"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":[0.00002974376,0.00001290213,0.0004058565,0.0005430642,0.00001493669,0.00001573853,0.00002397335,0.0001254292,0.0001274499,0.0003319556,0.9969324,0.001436512],"study_design_scores_gemma":[0.00007784141,0.00001060313,0.002382281,0.0002161647,0.00001688114,0.00004197875,0.0000861422,0.0001749946,0.000216966,0.0007170942,0.99604,0.00001915041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005133333,0.0000295763,0.00004078685,0.00003811507,0.00001299569,0.000005735476,0.9988127,0.0003859586,0.0006227792],"genre_scores_gemma":[0.0001625525,0.00003432052,0.0001746096,0.00004490927,0.000003559278,0.00004019833,0.99896,0.0001268974,0.00045297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8520629,"threshold_uncertainty_score":0.494899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}