{"id":"W6887274619","doi":"10.15468/dl.wqjj3y","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":"Matching (statistics); Download; Benchmark (surveying); Range (aeronautics)","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":[0.0007907094,0.002222423,0.001817786,0.00622528,0.001269532,0.003352475,0.002860589,0.002240794,0.1585168],"category_scores_gemma":[0.00630417,0.0008585075,0.001660481,0.01045747,0.000427323,0.003542793,0.003152978,0.002026121,0.2396324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923588,"about_ca_system_score_gemma":0.002588016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02455285,"about_ca_topic_score_gemma":0.04242771,"domain_scores_codex":[0.9987637,0.0001457598,0.0001730465,0.0004443462,0.0002554494,0.0002176903],"domain_scores_gemma":[0.997682,0.0005894859,0.0001922257,0.0006149533,0.0006430323,0.0002782517],"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":[0.00005888827,0.00001662484,0.0005902633,0.0007693822,0.00001758608,0.00003278307,0.00003554444,0.0001533131,0.0001574793,0.0005314519,0.9943926,0.00324409],"study_design_scores_gemma":[0.00005435934,0.00001328057,0.001788657,0.0002100849,0.00001435907,0.00006651167,0.0001213156,0.000303999,0.0001842427,0.000927572,0.9962968,0.0000188696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001047532,0.00008208443,0.00009409025,0.00007836414,0.00002731357,0.00001070964,0.9970751,0.001166341,0.001361125],"genre_scores_gemma":[0.0002883207,0.00007496232,0.0003622485,0.00008081809,0.000007245057,0.00004467475,0.9981237,0.0002364953,0.0007816394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8414832,"threshold_uncertainty_score":0.5302916,"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."}}