{"id":"W6905817453","doi":"10.15468/dl.sweavx","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mammal; Download; Extant taxon; Arctic; Field (mathematics); Ursus maritimus; Documentation","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":[0.0009436822,0.002209473,0.001824476,0.006523903,0.001053992,0.002961104,0.002768241,0.001872842,0.2158986],"category_scores_gemma":[0.006448457,0.0009933207,0.001425834,0.01267627,0.000425275,0.002798974,0.00299341,0.001868331,0.311693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718918,"about_ca_system_score_gemma":0.002475298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02689482,"about_ca_topic_score_gemma":0.0400535,"domain_scores_codex":[0.9988649,0.0001250563,0.00015223,0.0004002896,0.0002547059,0.0002029107],"domain_scores_gemma":[0.9973584,0.0006637907,0.0002329647,0.0006711027,0.0007742144,0.0002995094],"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":[0.00002657279,0.000008050727,0.0003426964,0.00053439,0.00001344489,0.00001298528,0.00002175976,0.00009013366,0.00008845305,0.0003021708,0.996848,0.001711279],"study_design_scores_gemma":[0.00005793029,0.000007640613,0.00174249,0.000207606,0.00001312096,0.0000335091,0.00007618695,0.0001188272,0.0001514687,0.0006113337,0.9969638,0.00001605644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002974562,0.00002415805,0.00003817476,0.00002776645,0.0000117113,0.000004941544,0.9988163,0.0004085181,0.0006386582],"genre_scores_gemma":[0.0001241398,0.00003756064,0.0001992518,0.00004020525,0.000003991917,0.00004117337,0.9987862,0.0001975374,0.0005700332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7841014,"threshold_uncertainty_score":0.7222527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}