{"id":"W6905937596","doi":"10.15468/dl.ytvgyq","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); 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":[0.00115134,0.001993752,0.001655567,0.005494351,0.001080068,0.002851891,0.002988789,0.002102607,0.1703494],"category_scores_gemma":[0.006827963,0.0009805434,0.001200409,0.01063521,0.0004676924,0.002510042,0.002664803,0.002095995,0.239901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681118,"about_ca_system_score_gemma":0.002533838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02272,"about_ca_topic_score_gemma":0.03700654,"domain_scores_codex":[0.9987832,0.0001662681,0.0001620418,0.0004235644,0.0002719376,0.0001930525],"domain_scores_gemma":[0.9971397,0.0008305831,0.0002595825,0.0007473256,0.0007059038,0.0003168749],"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":[0.00002717733,0.00001006147,0.0003416891,0.0005093952,0.00001419431,0.00001453621,0.00002331727,0.000109062,0.0001086231,0.0003852797,0.9971573,0.001299423],"study_design_scores_gemma":[0.00006212928,0.000006845972,0.001616201,0.0001848033,0.00001362045,0.0000351655,0.00006939918,0.000132421,0.0001724676,0.0007480733,0.996942,0.00001684426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003420926,0.00002415824,0.00004439526,0.00003348533,0.0000110719,0.000004673077,0.9988727,0.0003500661,0.0006252024],"genre_scores_gemma":[0.0001370739,0.00003176397,0.0001848915,0.00004075596,0.000003159944,0.00003765383,0.9989562,0.0001556619,0.0004527836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296505,"threshold_uncertainty_score":0.5698757,"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."}}