{"id":"W6905973625","doi":"10.15468/dl.vs8697","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); Base (topology)","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":[0.001101265,0.002063198,0.001559961,0.005315777,0.0009905343,0.002661758,0.002827329,0.002050707,0.1595204],"category_scores_gemma":[0.006338958,0.0009375504,0.001219254,0.009875056,0.0004618257,0.002548006,0.002810919,0.002020749,0.2297599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001582211,"about_ca_system_score_gemma":0.002411592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01967746,"about_ca_topic_score_gemma":0.03451612,"domain_scores_codex":[0.9988084,0.0001771047,0.0001523794,0.0004099693,0.0002634927,0.0001886621],"domain_scores_gemma":[0.9970753,0.000783583,0.0002664406,0.0008367593,0.0007027584,0.0003351695],"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":[0.00003096672,0.0000112086,0.0003155676,0.0005072289,0.00001423629,0.00001371825,0.00002121788,0.0001123033,0.000111381,0.0003783799,0.9971446,0.001339265],"study_design_scores_gemma":[0.00007060272,0.000008425395,0.001620971,0.0001699322,0.00001230848,0.00003374715,0.00005994689,0.0001336937,0.000179008,0.000812224,0.9968818,0.00001734721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003982854,0.00002632757,0.00004356238,0.00003759762,0.00001167541,0.000005992286,0.9987299,0.0004283887,0.0006767449],"genre_scores_gemma":[0.0001532337,0.00003263374,0.0001973039,0.00004864555,0.00000371996,0.00004117976,0.998903,0.0001650744,0.0004551462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404796,"threshold_uncertainty_score":0.5336487,"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."}}