{"id":"W6906166960","doi":"10.15468/dl.wu7qh2","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":"New england; South carolina; West virginia; Range (aeronautics)","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":[0.0008371897,0.002115542,0.001916866,0.00641779,0.001424499,0.004169522,0.002784577,0.002506635,0.2823438],"category_scores_gemma":[0.007759376,0.0009119604,0.001533083,0.01056575,0.0003955312,0.004569123,0.003509687,0.002264632,0.3845617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536456,"about_ca_system_score_gemma":0.002451921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01678211,"about_ca_topic_score_gemma":0.03295329,"domain_scores_codex":[0.9986501,0.0001664325,0.0002004162,0.0004528677,0.0003129754,0.0002172665],"domain_scores_gemma":[0.9969743,0.0008224127,0.0002224672,0.0006888118,0.00093339,0.0003585176],"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":[0.00003590611,0.00001094102,0.0003429791,0.0005174278,0.00001082401,0.00002444357,0.00002297748,0.00009445866,0.00008540565,0.000477735,0.995037,0.003339937],"study_design_scores_gemma":[0.00003944479,0.000008148257,0.0009518364,0.000157722,0.00001033262,0.00005478858,0.00007719019,0.0002621871,0.0001286948,0.001300155,0.9969931,0.00001637157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009497903,0.0001199109,0.0002049501,0.0001269879,0.00004432979,0.00001438194,0.9934335,0.002237519,0.003723398],"genre_scores_gemma":[0.0004251502,0.0001250044,0.0007220482,0.0001615425,0.00001641034,0.00005286533,0.9959117,0.0005831178,0.0020021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7176562,"threshold_uncertainty_score":0.9445341,"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."}}