{"id":"W6887358676","doi":"10.15468/dl.zm8y4f","title":"Occurrence Download","year":2017,"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); Order (exchange); Data set","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":[0.0009361477,0.001842209,0.001533205,0.005741516,0.0009554643,0.00251479,0.002764184,0.001801095,0.1470878],"category_scores_gemma":[0.005872048,0.0008162678,0.001159895,0.01092992,0.0004242856,0.002179743,0.002717981,0.001958679,0.2230458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655842,"about_ca_system_score_gemma":0.002988191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673923,"about_ca_topic_score_gemma":0.04877299,"domain_scores_codex":[0.9988661,0.0001396089,0.0001372231,0.0003842707,0.0002734653,0.0001993316],"domain_scores_gemma":[0.9973065,0.0006176261,0.0002532079,0.0007259804,0.0007575231,0.0003391884],"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":[0.00002736907,0.000009170174,0.0003760198,0.0005090423,0.00001586262,0.00001272756,0.00002103609,0.0001078502,0.000120673,0.0003623585,0.9969537,0.001484204],"study_design_scores_gemma":[0.00005695285,0.000007113281,0.00188824,0.0001738848,0.00001370866,0.00003174969,0.00006269237,0.0001178019,0.0001775071,0.0006449504,0.9968095,0.0000159154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004071731,0.00003000772,0.0000404716,0.00003172175,0.00001154641,0.000005129928,0.9988173,0.0003839995,0.0006390231],"genre_scores_gemma":[0.0001502252,0.00003493542,0.0001713188,0.00003720229,0.000003445685,0.00003169076,0.999009,0.0001275937,0.0004345549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8529122,"threshold_uncertainty_score":0.4920577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}