{"id":"W6962069821","doi":"10.15468/dl.ncdauf","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); Identification (biology); 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":[0.001060202,0.001952541,0.001512428,0.005177072,0.0009845954,0.002523081,0.002810951,0.002081167,0.1598346],"category_scores_gemma":[0.005917893,0.0009084936,0.001146019,0.01022614,0.0004670481,0.002316977,0.002540904,0.002013886,0.2213832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562834,"about_ca_system_score_gemma":0.002246556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01891064,"about_ca_topic_score_gemma":0.03230608,"domain_scores_codex":[0.9989292,0.0001565385,0.0001361494,0.00037554,0.0002260051,0.0001766],"domain_scores_gemma":[0.9973825,0.0007532375,0.0002461901,0.0006998581,0.0006239528,0.000294177],"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":[0.00002669731,0.00001227808,0.0003788982,0.0005044971,0.00001435659,0.00001479381,0.0000238591,0.0001266039,0.0001144243,0.0003788917,0.997031,0.001373681],"study_design_scores_gemma":[0.00006882322,0.000008117509,0.00176547,0.0001785757,0.00001345333,0.00003697142,0.00007763845,0.0001484026,0.0001875747,0.0007615556,0.9967361,0.00001733786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004549185,0.00002644391,0.00004727887,0.00003589279,0.00001276791,0.000005655985,0.9988286,0.0003426074,0.0006553476],"genre_scores_gemma":[0.000164957,0.00003109795,0.0001995532,0.00004422798,0.000003654412,0.00004351095,0.9989132,0.0001371214,0.0004627875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8401654,"threshold_uncertainty_score":0.5347,"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."}}