{"id":"W6906060941","doi":"10.15468/dl.xgjnve","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); Listing (finance); Range (aeronautics)","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":["insufficient_payload"],"category_scores_codex":[0.000766426,0.002657089,0.002220452,0.006389138,0.001723088,0.005228035,0.003215156,0.002895138,0.4704849],"category_scores_gemma":[0.006363254,0.001124779,0.001706661,0.01033709,0.000462821,0.004875698,0.004759447,0.00215828,0.6050619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001913901,"about_ca_system_score_gemma":0.002376736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773522,"about_ca_topic_score_gemma":0.04942917,"domain_scores_codex":[0.9989651,0.0001104156,0.0001302364,0.0003362733,0.0002548189,0.000203103],"domain_scores_gemma":[0.9973289,0.0006035641,0.0002045094,0.0005126643,0.0009535332,0.0003968823],"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":[0.00003912513,0.000009639579,0.0002793222,0.0005525136,0.000008824305,0.00002582516,0.00002703275,0.00005681852,0.00007292324,0.000348932,0.9952695,0.003309568],"study_design_scores_gemma":[0.00004469908,0.000008605491,0.0009905359,0.0002063499,0.000009797142,0.00004972975,0.00008286525,0.0001399442,0.000108398,0.001013921,0.9973264,0.00001882486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007187411,0.00009785129,0.0001542881,0.0001190307,0.00004141542,0.00001546547,0.9907398,0.00306278,0.005697506],"genre_scores_gemma":[0.0004224726,0.0001357939,0.000599646,0.0002166718,0.00002121852,0.00006607914,0.9930902,0.00134676,0.004101255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5295151,"threshold_uncertainty_score":0.7552891,"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."}}