{"id":"W6962162974","doi":"10.15468/dl.v2ey57","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; Confidentiality","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":[0.0010234,0.001993668,0.001674344,0.005097835,0.0009969724,0.002640098,0.00284171,0.002034944,0.1677444],"category_scores_gemma":[0.006120144,0.0009403461,0.001140125,0.01018405,0.0004526249,0.002356022,0.002582428,0.002036357,0.2338054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527098,"about_ca_system_score_gemma":0.00227877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01909293,"about_ca_topic_score_gemma":0.03215018,"domain_scores_codex":[0.9989557,0.0001409365,0.0001316838,0.0003698444,0.0002308598,0.0001708492],"domain_scores_gemma":[0.9974994,0.0007055183,0.000242355,0.0006450275,0.000612571,0.0002951712],"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":[0.00002824541,0.0000108595,0.0003535858,0.0005519143,0.00001429606,0.00001430515,0.00002369697,0.0001169349,0.0001167712,0.0003683357,0.9970551,0.001346125],"study_design_scores_gemma":[0.00007067312,0.000007194777,0.001658799,0.0001794808,0.00001311931,0.0000329978,0.00006653836,0.0001275755,0.0001780053,0.0007646445,0.9968838,0.0000170561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000375897,0.00002489444,0.00004285806,0.00003175587,0.000010976,0.000004858704,0.9988777,0.0003454243,0.0006239747],"genre_scores_gemma":[0.0001576967,0.00003290156,0.0001976209,0.00004442153,0.000003539062,0.00004309228,0.9988747,0.0001597429,0.000486195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8322557,"threshold_uncertainty_score":0.5611608,"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."}}