{"id":"W6887091017","doi":"10.15468/dl.k7eq2q","title":"Occurrence Download","year":2023,"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":[0.0007091042,0.002407235,0.002021653,0.005906761,0.001361556,0.003582671,0.003019399,0.00257455,0.2270156],"category_scores_gemma":[0.005733812,0.0009213937,0.001577898,0.009784402,0.0003784425,0.004248682,0.00329363,0.002457173,0.3539553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625851,"about_ca_system_score_gemma":0.002546501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775549,"about_ca_topic_score_gemma":0.03777439,"domain_scores_codex":[0.9988577,0.0001340789,0.0001640632,0.0004020035,0.0002606,0.000181418],"domain_scores_gemma":[0.9978629,0.000502756,0.0001567782,0.000530863,0.0006637744,0.0002829623],"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":[0.0000399071,0.0000136279,0.0002723704,0.0006011412,0.0000135118,0.00002375234,0.00002134505,0.00009999156,0.0001120768,0.0004779782,0.995423,0.002901211],"study_design_scores_gemma":[0.0000503179,0.0000107728,0.001032631,0.0001585852,0.00001186543,0.00005380416,0.00007490814,0.0002904559,0.0001620044,0.001216511,0.9969192,0.00001914501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008451586,0.0001122934,0.0001629142,0.00009952336,0.00003617742,0.00001383355,0.9944491,0.002127027,0.002914614],"genre_scores_gemma":[0.0002888423,0.00009567452,0.0005049562,0.0001081816,0.00001005161,0.00004743641,0.9971517,0.0004125002,0.001380645],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7729844,"threshold_uncertainty_score":0.7594428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}