{"id":"W6943661264","doi":"10.15468/dl.x7ne4s","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); Identification (biology)","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":[0.0009974479,0.001999147,0.001647534,0.004865528,0.001034713,0.002612634,0.002872173,0.002123093,0.1581998],"category_scores_gemma":[0.006113654,0.0009296958,0.001162979,0.009728842,0.0004660891,0.002546623,0.002661806,0.002116303,0.2288418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553007,"about_ca_system_score_gemma":0.002360897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01990833,"about_ca_topic_score_gemma":0.03578278,"domain_scores_codex":[0.9989229,0.0001575079,0.0001320823,0.0003894347,0.0002296211,0.0001685313],"domain_scores_gemma":[0.9973707,0.0007422856,0.0002417623,0.0007135684,0.0006266342,0.0003051695],"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":[0.00002787794,0.00001133109,0.0003411603,0.0005050315,0.00001333914,0.00001372116,0.00002303983,0.0001187002,0.00009988063,0.0003661501,0.9971885,0.001291189],"study_design_scores_gemma":[0.00007120474,0.000007687882,0.001564942,0.0001749974,0.00001214629,0.00003257371,0.00006964841,0.0001400403,0.0001607741,0.0008448397,0.996904,0.00001720836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003963587,0.00002645833,0.00004551348,0.00003653353,0.00001166251,0.00000526901,0.9987929,0.000390354,0.0006516665],"genre_scores_gemma":[0.0001592622,0.00003322089,0.0002129892,0.00004650061,0.000003555144,0.00004269668,0.9988625,0.0001595185,0.0004797023],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418002,"threshold_uncertainty_score":0.5292312,"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."}}