{"id":"W6887308991","doi":"10.15468/dl.xqjnau","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":[0.001205591,0.002044252,0.001678449,0.005193461,0.001063567,0.002814428,0.002983423,0.002156394,0.1804575],"category_scores_gemma":[0.006990374,0.001030591,0.001205878,0.01020952,0.0004836291,0.002444818,0.002740126,0.002120296,0.2421041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736126,"about_ca_system_score_gemma":0.002548453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353042,"about_ca_topic_score_gemma":0.03621127,"domain_scores_codex":[0.9987984,0.0001618376,0.0001556449,0.0004195618,0.0002735871,0.0001910366],"domain_scores_gemma":[0.9970472,0.0008629295,0.0002658579,0.0007670451,0.0007386174,0.0003183129],"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":[0.00002710532,0.00001034144,0.0003279086,0.0005150289,0.00001478549,0.00001407855,0.00002394353,0.0001123321,0.0001128755,0.0003851237,0.9971964,0.00126011],"study_design_scores_gemma":[0.00006984029,0.000006986862,0.001622034,0.000186382,0.00001429076,0.00003444427,0.00006850826,0.000132679,0.0001844664,0.0007512051,0.9969112,0.00001802069],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003166974,0.00002264938,0.00004544764,0.00003359281,0.00001093258,0.0000049597,0.9988729,0.0003629591,0.0006148049],"genre_scores_gemma":[0.0001463901,0.00003132648,0.0001996689,0.00004442758,0.000003291412,0.00004376136,0.9988917,0.0001811165,0.0004582689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8195425,"threshold_uncertainty_score":0.6036906,"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."}}