{"id":"W6924635536","doi":"10.15468/dl.tvickt","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); 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":[0.00100932,0.001968292,0.001615963,0.005796242,0.0009629636,0.002709193,0.002916704,0.001996862,0.1409411],"category_scores_gemma":[0.005996384,0.0008694655,0.001236817,0.01149939,0.0004677746,0.002346552,0.002734914,0.002033568,0.2149636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608508,"about_ca_system_score_gemma":0.002598602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02112803,"about_ca_topic_score_gemma":0.03686383,"domain_scores_codex":[0.9988171,0.0001611863,0.0001545933,0.0003888245,0.0002751994,0.0002032265],"domain_scores_gemma":[0.997439,0.000638187,0.0002588203,0.0006781471,0.0006734244,0.0003122895],"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":[0.00003001068,0.00001090369,0.0004090008,0.0005387784,0.00001711889,0.0000144046,0.00002201489,0.00011517,0.0001134326,0.0003833722,0.9969354,0.001410565],"study_design_scores_gemma":[0.00006709177,0.000008110508,0.001915821,0.0002033241,0.00001595659,0.00003840133,0.00006796936,0.0001257968,0.0001784981,0.0007305419,0.9966318,0.00001676226],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004590186,0.00003502987,0.00003945551,0.00003625043,0.00001210293,0.000005169833,0.9988451,0.0003285391,0.0006524922],"genre_scores_gemma":[0.000147199,0.00003713081,0.0001470699,0.00004216916,0.000003483318,0.0000315743,0.9990771,0.0001080658,0.0004062199],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8590589,"threshold_uncertainty_score":0.471495,"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."}}