{"id":"W6943064415","doi":"10.15468/dl.qc8cz8","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); 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":[0.00113243,0.00206662,0.001676258,0.005318659,0.001081259,0.002792964,0.003012919,0.002131991,0.1600288],"category_scores_gemma":[0.006453222,0.0009862877,0.001189623,0.01025741,0.0004785581,0.002468419,0.002603054,0.002110538,0.2297648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658918,"about_ca_system_score_gemma":0.002469564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02215542,"about_ca_topic_score_gemma":0.03601318,"domain_scores_codex":[0.9988165,0.0001634484,0.0001528187,0.0004169346,0.0002645163,0.0001858737],"domain_scores_gemma":[0.9973575,0.000767256,0.0002411457,0.0007092068,0.0006224057,0.0003023823],"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":[0.00002771107,0.00001063875,0.0003347715,0.0004981734,0.00001436821,0.00001471001,0.00002256078,0.000114263,0.0001137571,0.000376544,0.9971797,0.001292811],"study_design_scores_gemma":[0.0000677499,0.000007436866,0.001687329,0.0001863589,0.00001427412,0.00003818714,0.00007015509,0.0001464969,0.0001834856,0.000768629,0.9968123,0.00001760188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003787255,0.00002709558,0.00004788069,0.00003464619,0.00001178237,0.000004899808,0.9988278,0.000386415,0.0006216443],"genre_scores_gemma":[0.0001420761,0.00003180805,0.0001857074,0.00004108353,0.000003194928,0.00003801382,0.9989801,0.0001523062,0.0004257057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8399712,"threshold_uncertainty_score":0.5353496,"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."}}