{"id":"W6962634899","doi":"10.15468/dl.qmpfpz","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Listing (finance); Matching (statistics); Download; Range (aeronautics); The Internet; 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":[0.001005749,0.001972138,0.001620447,0.005361124,0.0009619843,0.002560538,0.002755697,0.001924509,0.191617],"category_scores_gemma":[0.006352831,0.0009670293,0.001209886,0.009732846,0.0004503572,0.002260726,0.002811988,0.001850795,0.2402582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656782,"about_ca_system_score_gemma":0.002390526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02352461,"about_ca_topic_score_gemma":0.03652792,"domain_scores_codex":[0.9990545,0.0001191602,0.0001265441,0.0003104567,0.0002130306,0.0001762389],"domain_scores_gemma":[0.9975406,0.0006711207,0.0002321533,0.0006277869,0.0006362972,0.0002920868],"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":[0.00002802853,0.000008745144,0.0003303537,0.0005825828,0.00001365345,0.00001372222,0.00002126926,0.00009642535,0.000106337,0.0003489769,0.9970926,0.001357378],"study_design_scores_gemma":[0.0000718411,0.000007196003,0.001812025,0.0002311684,0.00001395141,0.00003230231,0.00006080932,0.0001074517,0.0001734631,0.0007066957,0.9967667,0.00001629871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002658662,0.00001960924,0.000031201,0.00002654092,0.000008563458,0.000004755258,0.9990169,0.0003096692,0.0005561644],"genre_scores_gemma":[0.0001435734,0.00003296229,0.0001682683,0.00004432039,0.000003140672,0.00004277904,0.9989842,0.0001585882,0.0004221636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.808383,"threshold_uncertainty_score":0.6410228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}