{"id":"W6962131455","doi":"10.15468/dl.s6ryy5","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); Set (abstract data type); Confidentiality","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":[0.0009865101,0.001926245,0.001599276,0.005377613,0.0009895638,0.002723773,0.003052735,0.001910669,0.1995113],"category_scores_gemma":[0.006618831,0.0009984785,0.001140454,0.01060406,0.0004634228,0.002464434,0.002637515,0.002046914,0.2668954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787152,"about_ca_system_score_gemma":0.002536752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02348568,"about_ca_topic_score_gemma":0.03600288,"domain_scores_codex":[0.9989352,0.0001382919,0.00013486,0.0003689085,0.0002463679,0.000176494],"domain_scores_gemma":[0.9973859,0.0007217518,0.0002415729,0.0006951218,0.0006499965,0.0003056043],"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":[0.00002331496,0.000008519394,0.0002854037,0.0004199933,0.00001094373,0.00001175159,0.00001916549,0.00009364836,0.00007896322,0.0003172385,0.9974599,0.001271231],"study_design_scores_gemma":[0.00006010452,0.000006655214,0.00150954,0.0001670209,0.00001221597,0.0000349601,0.00006616633,0.0001385608,0.0001734845,0.0006918163,0.9971239,0.00001556796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003073916,0.00002083998,0.00004072305,0.00003490703,0.00001008996,0.000004727939,0.9988256,0.0003785134,0.0006538739],"genre_scores_gemma":[0.0001381844,0.00003059661,0.0001747746,0.00004388801,0.000003166109,0.00004045672,0.9988053,0.0001718472,0.0005917914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8004887,"threshold_uncertainty_score":0.6674317,"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."}}