{"id":"W6905884736","doi":"10.15468/dl.pqsovw","title":"Occurrence Download","year":2017,"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); Data collection; 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":[0.0009355957,0.002073186,0.001534058,0.00509784,0.001017971,0.002631623,0.002919724,0.002079387,0.1378842],"category_scores_gemma":[0.006105289,0.0009039147,0.001210502,0.01006874,0.0004623285,0.002542716,0.002682534,0.002054187,0.2167649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001750403,"about_ca_system_score_gemma":0.002525469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02764818,"about_ca_topic_score_gemma":0.04792521,"domain_scores_codex":[0.9989336,0.0001405541,0.000127238,0.0003570779,0.0002617668,0.0001797897],"domain_scores_gemma":[0.9974604,0.0006691815,0.0002218723,0.0006741591,0.0006855996,0.0002887654],"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":[0.0000236291,0.0000107305,0.0003525614,0.0003921812,0.00001268352,0.00001419809,0.00002206445,0.0001114279,0.00008553857,0.0003494515,0.9973531,0.001272483],"study_design_scores_gemma":[0.00006893079,0.000008454267,0.001912437,0.0001846209,0.00001348031,0.00004204382,0.00008740793,0.0001935708,0.0001897694,0.0007391024,0.9965426,0.0000175874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005410257,0.00003138014,0.00005451874,0.00004346944,0.00001522354,0.000005697341,0.9985725,0.0005159277,0.0007071733],"genre_scores_gemma":[0.0001599923,0.00003192664,0.0001944965,0.00003693171,0.000003595366,0.00003483683,0.9989592,0.0001455465,0.000433539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8621158,"threshold_uncertainty_score":0.4612687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}