{"id":"W6905972018","doi":"10.15468/dl.x27kst","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); Data set; Set (abstract data type)","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":[0.0009428742,0.001949944,0.00154402,0.004585812,0.001007605,0.002384518,0.002821678,0.002014212,0.1427815],"category_scores_gemma":[0.005505519,0.000918076,0.001141149,0.009352629,0.0004537029,0.00221404,0.00244173,0.002029828,0.2032598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694962,"about_ca_system_score_gemma":0.002352609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02504924,"about_ca_topic_score_gemma":0.03988691,"domain_scores_codex":[0.9990668,0.0001230716,0.0001193853,0.0003237207,0.0002086539,0.0001584341],"domain_scores_gemma":[0.9978077,0.0006069453,0.000208836,0.0005873995,0.0005311841,0.0002579142],"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":[0.00002881107,0.00001107215,0.0003741182,0.000488828,0.00001375882,0.00001510108,0.00002602612,0.0001332115,0.0001303013,0.0004022769,0.9969663,0.001410124],"study_design_scores_gemma":[0.0000684864,0.000007234277,0.001790695,0.0001699015,0.00001307882,0.00003651688,0.00007398735,0.0001552391,0.0001937653,0.000713904,0.9967603,0.00001689002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004477544,0.0000243605,0.00004870123,0.00003548199,0.00001181276,0.000005086234,0.9987901,0.0003996131,0.0006400991],"genre_scores_gemma":[0.0001595445,0.00002996162,0.0002039795,0.00004078276,0.000002922875,0.00003931997,0.9989516,0.0001508712,0.0004210964],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8572185,"threshold_uncertainty_score":0.4776517,"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."}}