{"id":"W6943367515","doi":"10.15468/dl.syoh9r","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; Listing (finance); Matching (statistics); Range (aeronautics); Data collection","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":[0.001159738,0.002059569,0.001567448,0.005916692,0.0008628503,0.00250301,0.002752524,0.00163621,0.2377158],"category_scores_gemma":[0.006207575,0.001043174,0.001173643,0.0101845,0.0004252138,0.002621465,0.003040071,0.001713966,0.3014752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667136,"about_ca_system_score_gemma":0.002399344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02355422,"about_ca_topic_score_gemma":0.03676448,"domain_scores_codex":[0.9990022,0.000115835,0.0001239811,0.0003338302,0.0002346884,0.0001894742],"domain_scores_gemma":[0.9971584,0.0006703711,0.0002584161,0.0007476523,0.0007961856,0.0003689041],"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":[0.00002435474,0.00000654963,0.0002427899,0.0004336793,0.00001133562,0.00001003434,0.00001665104,0.00007211711,0.00009516754,0.0002966806,0.9974045,0.001386106],"study_design_scores_gemma":[0.00005130819,0.000005706811,0.001616972,0.0001737077,0.00001143263,0.0000252771,0.0000478961,0.00008341399,0.0001682881,0.0006050101,0.997196,0.00001506316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002046589,0.00001546544,0.00003311071,0.00002292517,0.00000899795,0.000004367879,0.9989071,0.0003633965,0.0006241635],"genre_scores_gemma":[0.0001174959,0.00002880994,0.0001808716,0.00004241015,0.000003473954,0.00003832023,0.9988621,0.0002105349,0.0005159494],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7622842,"threshold_uncertainty_score":0.7952387,"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."}}