{"id":"W6924648810","doi":"10.15468/dl.yptk9x","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Rutilus; R package","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001521719,0.0002924913,0.0002404235,0.00002826487,0.0003062174,0.00006234736,0.0004972556,0.0002445537,0.01927018],"category_scores_gemma":[0.00002528831,0.0002834502,0.0001716084,0.0002518321,0.0003873812,0.0007997581,0.0009885876,0.0002216286,0.7252889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003842837,"about_ca_system_score_gemma":0.000008725257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164215,"about_ca_topic_score_gemma":0.00003120738,"domain_scores_codex":[0.9985278,0.00003742358,0.0002729076,0.0002745953,0.0005614633,0.0003258452],"domain_scores_gemma":[0.9992023,0.00001099835,0.0002031094,0.0004520106,0.000009421982,0.0001222216],"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":[0.00002163483,0.00003822819,0.05553523,0.00004033427,0.00002142748,8.574141e-7,0.00002854609,0.00007321814,4.949644e-8,6.645474e-9,0.9435365,0.0007039246],"study_design_scores_gemma":[0.0002157235,0.00003934354,0.008122911,0.000001155049,0.00004058178,0.000002124125,0.0001091107,5.753424e-8,8.400452e-7,9.729199e-7,0.9911658,0.000301339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002396909,0.00001658136,0.00000112598,0.0000758647,0.0004088052,0.00030737,0.995706,0.00003473537,0.001052564],"genre_scores_gemma":[0.00008759068,0.0001359766,0.000001795969,0.0005107983,6.061013e-7,0.000003912867,0.999259,1.070559e-8,2.991993e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7060187,"threshold_uncertainty_score":0.9999618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089355908927087,"score_gpt":0.1871664846742666,"score_spread":0.1762729255849957,"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."}}