{"id":"W6905917243","doi":"10.15468/dl.qkd4x6","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); Alien; Column (typography)","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":[0.001032821,0.001970644,0.001623404,0.004904442,0.001025004,0.002581616,0.002785788,0.002123284,0.1589493],"category_scores_gemma":[0.00620032,0.0009339204,0.001266421,0.009270115,0.0004572196,0.002414061,0.002668859,0.001991093,0.2221744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564929,"about_ca_system_score_gemma":0.002355119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0217502,"about_ca_topic_score_gemma":0.03408341,"domain_scores_codex":[0.9989618,0.0001462277,0.0001352932,0.0003637649,0.0002223285,0.0001706101],"domain_scores_gemma":[0.9974157,0.0007574731,0.0002262489,0.0006838749,0.000628961,0.0002877587],"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":[0.00002922004,0.00001193513,0.0003841933,0.0005694343,0.00001468046,0.00001529277,0.00002444275,0.0001206561,0.0001188098,0.0003477232,0.9969386,0.001424977],"study_design_scores_gemma":[0.00007832921,0.000009477513,0.00206491,0.0002155916,0.00001530634,0.00004021378,0.00008434964,0.0001626007,0.0001912413,0.0007531227,0.9963664,0.00001851852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004463433,0.00002851048,0.00004536208,0.00003935552,0.00001345626,0.000005908316,0.9988083,0.0004083536,0.000606164],"genre_scores_gemma":[0.0001623557,0.00003472434,0.0001999304,0.00004794341,0.000003713826,0.00004480206,0.998917,0.0001481102,0.0004414472],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8410506,"threshold_uncertainty_score":0.5317385,"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."}}