{"id":"W6943191912","doi":"10.15468/dl.wcu2ua","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); Confidentiality","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":[0.001062891,0.002019051,0.001652865,0.00510296,0.001025701,0.002657722,0.00297846,0.002148642,0.1638127],"category_scores_gemma":[0.006106394,0.0009242786,0.001187722,0.009865052,0.0004765627,0.002436887,0.002592435,0.00210462,0.2299566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159825,"about_ca_system_score_gemma":0.002305372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02002455,"about_ca_topic_score_gemma":0.0326685,"domain_scores_codex":[0.9989428,0.0001488647,0.0001333054,0.0003720144,0.0002256441,0.0001773884],"domain_scores_gemma":[0.9974662,0.0007180594,0.0002410177,0.0006752685,0.0006107205,0.000288745],"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":[0.00002761958,0.00001147849,0.0003517045,0.0005337742,0.00001511016,0.00001427515,0.00002288386,0.0001310025,0.0001120644,0.0003734247,0.9970528,0.001353881],"study_design_scores_gemma":[0.00007206283,0.000007936401,0.001642434,0.0001895784,0.00001434712,0.00003514169,0.00007082575,0.0001516078,0.000183331,0.0007946778,0.9968202,0.00001783804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003914786,0.00002703296,0.0000443724,0.00003408853,0.00001215166,0.000005154546,0.9988793,0.0003451933,0.0006134933],"genre_scores_gemma":[0.0001538195,0.00003287235,0.0001892576,0.00004367619,0.000003500517,0.00004240834,0.998949,0.0001405032,0.0004450381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361873,"threshold_uncertainty_score":0.5480081,"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."}}