{"id":"W6925001617","doi":"10.15468/dl.yfbfzq","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0006872005,0.002527823,0.002107567,0.006950404,0.001368535,0.003729781,0.002791963,0.002747435,0.2357675],"category_scores_gemma":[0.006374171,0.0009127903,0.001771412,0.01091847,0.0004278111,0.004057265,0.003422645,0.002170093,0.3387533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598063,"about_ca_system_score_gemma":0.002340383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01976303,"about_ca_topic_score_gemma":0.03655316,"domain_scores_codex":[0.9988523,0.0001355816,0.0001699257,0.0004028058,0.0002465879,0.0001928261],"domain_scores_gemma":[0.9977543,0.0006017646,0.000194133,0.0004972417,0.000675874,0.000276744],"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":[0.00005766566,0.00001568362,0.0005050263,0.000937824,0.00001847819,0.00003688931,0.00003122388,0.0001362539,0.0001272263,0.0005008458,0.9936814,0.003951436],"study_design_scores_gemma":[0.00006099722,0.00001362231,0.001306177,0.0002530472,0.00001707727,0.00007987977,0.0001008381,0.0003092328,0.0001575852,0.001190003,0.9964902,0.00002122366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001167669,0.0001693577,0.0001550626,0.00009940326,0.0000401837,0.00001282758,0.9952403,0.001738488,0.00242752],"genre_scores_gemma":[0.0004194998,0.0001401441,0.0005298384,0.0001209592,0.00001297143,0.0000483689,0.9969784,0.0004019854,0.001347899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7642325,"threshold_uncertainty_score":0.7887209,"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."}}