{"id":"W6906030869","doi":"10.15468/dl.veufe2","title":"Occurrence Download","year":2020,"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); Data set; 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":[0.001025733,0.002041384,0.001630414,0.005513419,0.001054519,0.002794096,0.003212049,0.002158393,0.1715167],"category_scores_gemma":[0.006247118,0.0009683509,0.001214519,0.01062863,0.0004830021,0.002544378,0.002689671,0.00215513,0.238258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883972,"about_ca_system_score_gemma":0.002511037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02366688,"about_ca_topic_score_gemma":0.03642608,"domain_scores_codex":[0.9989152,0.0001424926,0.0001351682,0.0003683784,0.0002617593,0.0001770059],"domain_scores_gemma":[0.9975224,0.0006810855,0.0002181589,0.0006502888,0.0006545908,0.0002733963],"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":[0.00002530621,0.00001067724,0.0003297103,0.0004972121,0.00001241244,0.00001373769,0.00002172687,0.0001116565,0.00009562221,0.0003758637,0.9970239,0.001482103],"study_design_scores_gemma":[0.00005970902,0.00000685432,0.001541288,0.0001826384,0.00001228408,0.0000355323,0.00007167065,0.0001445283,0.0001844523,0.0007448653,0.9969997,0.00001649607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003660948,0.00002795966,0.00004610213,0.00003861661,0.00001095085,0.000005275555,0.9986935,0.0004113517,0.0007296618],"genre_scores_gemma":[0.0001544929,0.00003546893,0.000206412,0.00004386617,0.00000322788,0.00004278778,0.9987967,0.0001623865,0.0005545251],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284833,"threshold_uncertainty_score":0.5737807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}