{"id":"W6924573775","doi":"10.15468/dl.snje27","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ursus; Download; Matching (statistics); Feature (linguistics); 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":[0.0009889996,0.001954397,0.001536532,0.005335947,0.0009663289,0.002604056,0.002869783,0.001927849,0.1791572],"category_scores_gemma":[0.006164491,0.000914655,0.001158415,0.01061275,0.000463009,0.002382654,0.002608352,0.001898326,0.2357586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001725834,"about_ca_system_score_gemma":0.002378109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02445917,"about_ca_topic_score_gemma":0.03548547,"domain_scores_codex":[0.9990114,0.0001241588,0.0001241953,0.0003410425,0.0002244273,0.000174807],"domain_scores_gemma":[0.9975373,0.0006951493,0.0002345179,0.000624847,0.0006018225,0.0003064664],"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":[0.00002922179,0.00001036706,0.0003767196,0.0004688374,0.00001262482,0.00001468205,0.00002318701,0.0001162761,0.0001025443,0.0003730531,0.9971361,0.001336378],"study_design_scores_gemma":[0.0000709519,0.000008120735,0.00202207,0.0001736182,0.00001357593,0.00003764398,0.00007868421,0.0001637149,0.0001931078,0.0007226404,0.9964991,0.00001684404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003744623,0.00002096524,0.00003673702,0.00003244034,0.00001076655,0.000004372323,0.9988787,0.0003614638,0.0006171216],"genre_scores_gemma":[0.0001547669,0.00002808201,0.0001634362,0.00003944278,0.000003306676,0.00003426609,0.9989561,0.0001518382,0.0004688216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8208428,"threshold_uncertainty_score":0.5993404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}