{"id":"W6961896507","doi":"10.15468/dl.mjud2q","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); 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":[0.0009360513,0.001975694,0.001564789,0.004881587,0.0009474913,0.002433412,0.002731636,0.001938178,0.1509364],"category_scores_gemma":[0.005476214,0.0009504515,0.001160094,0.009794252,0.0004484207,0.002215475,0.002541335,0.002015503,0.2078644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001585272,"about_ca_system_score_gemma":0.00225465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0231272,"about_ca_topic_score_gemma":0.03693064,"domain_scores_codex":[0.9990596,0.000120157,0.0001196166,0.000321202,0.00021781,0.0001616224],"domain_scores_gemma":[0.9978129,0.0006017842,0.0002090342,0.0005885352,0.0005298491,0.0002579517],"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":[0.00002886119,0.00001135373,0.0003932227,0.0005147206,0.00001503374,0.00001549527,0.00002733581,0.0001366515,0.0001276005,0.0003984951,0.9968195,0.001511781],"study_design_scores_gemma":[0.00007179772,0.000007357521,0.001906652,0.0001750575,0.00001352529,0.00003743102,0.00007727264,0.0001616591,0.0001995152,0.0007202785,0.9966123,0.00001713616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004531753,0.00002415882,0.00004858747,0.00003270665,0.00001090212,0.000005086625,0.9987841,0.0004422427,0.0006068622],"genre_scores_gemma":[0.000165985,0.00003039247,0.000208609,0.00003911036,0.000003004066,0.00003970721,0.9989269,0.0001726725,0.0004135807],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8490636,"threshold_uncertainty_score":0.5049327,"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."}}