{"id":"W6943480357","doi":"10.15468/dl.rjdwlt","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); Herbarium; Range (aeronautics); Census","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":[0.001012161,0.002062815,0.001636531,0.005998724,0.0009213287,0.002609516,0.00293993,0.001944972,0.1645012],"category_scores_gemma":[0.006144827,0.0009569196,0.001157767,0.01212566,0.0004561261,0.002404153,0.002605741,0.001884882,0.2093962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875381,"about_ca_system_score_gemma":0.002773006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03118676,"about_ca_topic_score_gemma":0.04786938,"domain_scores_codex":[0.9989692,0.0001237262,0.0001362342,0.0003529506,0.0002369529,0.0001809106],"domain_scores_gemma":[0.9973257,0.000724202,0.0002567454,0.0006459745,0.0006963487,0.0003510328],"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":[0.00003094214,0.00001033989,0.0003455953,0.000565499,0.00001515342,0.00001514715,0.00002293404,0.0001277583,0.00011167,0.0003741688,0.996949,0.001431893],"study_design_scores_gemma":[0.00007213972,0.000007984008,0.002134246,0.0001963255,0.00001507981,0.00003513751,0.00007098995,0.0001522014,0.0001953627,0.0007285374,0.9963728,0.00001908946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003156238,0.00001986791,0.00003132372,0.0000242168,0.000007910047,0.00000410207,0.9990752,0.0003024701,0.0005034145],"genre_scores_gemma":[0.0001346397,0.00002824287,0.0001570525,0.00003325631,0.000002646906,0.00003445613,0.999083,0.0001242827,0.0004024149],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8354988,"threshold_uncertainty_score":0.5503115,"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."}}