{"id":"W6962083132","doi":"10.15468/dl.vrhfju","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); Alien","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":[0.00102661,0.001948589,0.00154137,0.004730445,0.001080055,0.002534057,0.00290372,0.00222251,0.1538022],"category_scores_gemma":[0.005935406,0.0009095047,0.001250031,0.009001467,0.0004729031,0.002421968,0.002587153,0.002110824,0.2191837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617725,"about_ca_system_score_gemma":0.002373885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02209092,"about_ca_topic_score_gemma":0.03727631,"domain_scores_codex":[0.998923,0.0001504968,0.0001322028,0.0003732063,0.0002405092,0.000180589],"domain_scores_gemma":[0.9973895,0.0007396401,0.0002239111,0.0007216622,0.0006356359,0.0002896834],"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":[0.00002870351,0.00001328952,0.0003725277,0.0004660848,0.0000131549,0.0000151889,0.00002350596,0.0001194262,0.0001286574,0.00037656,0.9970747,0.001368144],"study_design_scores_gemma":[0.00006921461,0.000008925123,0.001958336,0.0001856805,0.00001345599,0.00003802712,0.00007982135,0.0001524521,0.0002104108,0.000777198,0.9964881,0.00001839559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000494765,0.00002610077,0.00004791006,0.00004044081,0.00001322749,0.000006102669,0.9987117,0.0004096086,0.0006954502],"genre_scores_gemma":[0.0001637517,0.00002925518,0.0002024521,0.00004429559,0.000003326715,0.00004299135,0.9989138,0.0001401164,0.0004601087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461977,"threshold_uncertainty_score":0.5145198,"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."}}