{"id":"W6943146626","doi":"10.15468/dl.pv68ay","title":"Occurrence Download","year":2021,"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)","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":[0.001045688,0.002079953,0.001644917,0.005505155,0.0009933232,0.00267197,0.002894208,0.002061998,0.1676118],"category_scores_gemma":[0.005991872,0.0009754085,0.001182443,0.01074858,0.0004734435,0.002426495,0.002707461,0.002093607,0.2359777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708864,"about_ca_system_score_gemma":0.002627774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02408049,"about_ca_topic_score_gemma":0.0420466,"domain_scores_codex":[0.9988679,0.0001535003,0.0001530675,0.0003775761,0.0002594946,0.0001886438],"domain_scores_gemma":[0.9970964,0.0007530789,0.0002749762,0.0008151325,0.0007222335,0.0003381827],"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":[0.00003027559,0.00001126892,0.0003058529,0.0005018951,0.00001365293,0.00001377698,0.00002133143,0.0001123746,0.0001115509,0.0003664088,0.9971592,0.001352446],"study_design_scores_gemma":[0.00006882752,0.00000731111,0.00162853,0.000164437,0.00001256096,0.00003168284,0.00006098018,0.0001162763,0.0001747229,0.0006911075,0.9970264,0.00001720176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003289615,0.00001999682,0.00003462288,0.00003069928,0.000009669866,0.000004976585,0.9989766,0.0003060409,0.0005845395],"genre_scores_gemma":[0.0001255977,0.00002783511,0.0001671247,0.00003871855,0.00000302201,0.00003648685,0.9990264,0.0001248568,0.0004499438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8323882,"threshold_uncertainty_score":0.5607175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}