{"id":"W6905814635","doi":"10.15468/dl.ksv87s","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); Set (abstract data type); Data set","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":[0.001122393,0.002027173,0.001657401,0.005046308,0.001072798,0.002717265,0.00304244,0.002124492,0.1731524],"category_scores_gemma":[0.006435888,0.0009985185,0.001193086,0.009836592,0.0004705664,0.002363769,0.002710124,0.002113761,0.2393571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675243,"about_ca_system_score_gemma":0.002475915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222249,"about_ca_topic_score_gemma":0.03662324,"domain_scores_codex":[0.9988981,0.0001415888,0.0001428434,0.000387909,0.0002490325,0.0001803971],"domain_scores_gemma":[0.9973793,0.000740732,0.0002413716,0.0006906783,0.000642645,0.000305301],"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":[0.00002671398,0.00001081165,0.0003403291,0.0004978802,0.00001385231,0.00001444692,0.00002269847,0.0001095688,0.0001155033,0.0003682507,0.9972293,0.001250567],"study_design_scores_gemma":[0.0000696263,0.000007492274,0.001731748,0.0001842131,0.00001407433,0.00003636429,0.00006836607,0.0001361116,0.0001971243,0.0007405209,0.9967965,0.00001791878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003666128,0.00002307741,0.00004448966,0.00003352089,0.00001153395,0.000004910901,0.9988386,0.0003749191,0.0006323138],"genre_scores_gemma":[0.0001428093,0.00002910804,0.0001878914,0.00004199872,0.00000300915,0.00003916026,0.9989429,0.0001646091,0.0004484773],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8268476,"threshold_uncertainty_score":0.5792525,"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."}}