{"id":"W6943479497","doi":"10.15468/dl.pbztex","title":"Occurrence Download","year":2019,"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; Identification (biology)","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":[0.000998743,0.001882032,0.00155068,0.005450849,0.0008699429,0.002548984,0.002581884,0.001813601,0.1835901],"category_scores_gemma":[0.0060469,0.000874289,0.001156338,0.01053652,0.0004077218,0.002283136,0.002725615,0.001824983,0.2522852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544503,"about_ca_system_score_gemma":0.00240546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02251774,"about_ca_topic_score_gemma":0.03755657,"domain_scores_codex":[0.9989103,0.0001416762,0.0001503743,0.0003713384,0.0002415262,0.0001847492],"domain_scores_gemma":[0.9973279,0.0006846011,0.0002645309,0.0006944913,0.0007024559,0.0003260589],"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":[0.00002802893,0.000008728846,0.0003254057,0.0005216964,0.00001487182,0.00001269211,0.00001990051,0.0001016481,0.0001052772,0.0003353071,0.9971287,0.0013978],"study_design_scores_gemma":[0.00006136458,0.000007403296,0.001788466,0.0001852276,0.00001389013,0.0000306909,0.00005822938,0.0001065425,0.0001649913,0.0006979906,0.9968694,0.00001581385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002999338,0.00002239438,0.00003369533,0.00002910817,0.00001047756,0.000004679742,0.9989761,0.0003012779,0.000592272],"genre_scores_gemma":[0.0001410843,0.0000336535,0.0001620366,0.00004518501,0.000003594788,0.00003582886,0.9989634,0.0001403241,0.0004748997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8164098,"threshold_uncertainty_score":0.6141702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}