{"id":"W6887370320","doi":"10.15468/dl.z49w2c","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); Confidentiality; Set (abstract data type)","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":[0.001100241,0.00195636,0.001557008,0.004794336,0.001087524,0.002607051,0.002906037,0.002125422,0.1506639],"category_scores_gemma":[0.006380755,0.0009718325,0.001185122,0.009030861,0.0004662306,0.002353753,0.002627908,0.002102889,0.2108261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001634221,"about_ca_system_score_gemma":0.002404329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121363,"about_ca_topic_score_gemma":0.0356669,"domain_scores_codex":[0.9988656,0.0001538844,0.0001480525,0.0003934576,0.0002566398,0.0001824082],"domain_scores_gemma":[0.9973526,0.00074487,0.0002392919,0.000730612,0.0006409003,0.0002915843],"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":[0.00002998117,0.00001216606,0.0004098357,0.0005077449,0.00001466086,0.00001619955,0.00002658696,0.0001249984,0.0001351407,0.0004136976,0.9969262,0.001382601],"study_design_scores_gemma":[0.00007139469,0.000008063746,0.00196057,0.0001884995,0.00001419998,0.00004115565,0.00007881326,0.0001551711,0.0002054692,0.0007522925,0.9965061,0.0000183955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004586628,0.00002415923,0.00005273033,0.00003721978,0.00001266768,0.000005490478,0.9987556,0.0004223837,0.0006439327],"genre_scores_gemma":[0.0001556111,0.00002764907,0.0002143124,0.0000408303,0.000003035424,0.00004119947,0.9989352,0.0001592723,0.0004227736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8493361,"threshold_uncertainty_score":0.5040209,"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."}}