{"id":"W6924646975","doi":"10.15468/dl.sz54je","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); 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":[0.001154906,0.00200069,0.001654325,0.00538409,0.00105047,0.002798354,0.002975402,0.002055493,0.1703401],"category_scores_gemma":[0.006576263,0.0009896632,0.001175006,0.01033008,0.0004707421,0.002457029,0.002688535,0.002067813,0.2383653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653872,"about_ca_system_score_gemma":0.002517197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022386,"about_ca_topic_score_gemma":0.03683819,"domain_scores_codex":[0.9988133,0.0001594681,0.0001576597,0.000408497,0.0002686112,0.0001925222],"domain_scores_gemma":[0.9972315,0.0007909054,0.0002596884,0.0007240103,0.0006714027,0.0003225131],"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":[0.00002693848,0.00001024754,0.0003369545,0.0004976126,0.00001423496,0.00001397381,0.00002274179,0.0001081237,0.0001093551,0.0003715095,0.9971877,0.001300609],"study_design_scores_gemma":[0.00006508322,0.000007016658,0.001688318,0.0001857902,0.0000138408,0.00003652043,0.00007161695,0.0001307529,0.0001791738,0.0007228036,0.9968818,0.00001716395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003429679,0.00002408213,0.00004371353,0.00003267175,0.00001112993,0.000004656796,0.9989016,0.0003485641,0.0005992969],"genre_scores_gemma":[0.0001345758,0.00003055514,0.0001824269,0.00003995988,0.000003109087,0.00003671908,0.9989949,0.0001508444,0.0004269116],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8296599,"threshold_uncertainty_score":0.5698444,"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."}}