{"id":"W6963017570","doi":"10.15468/dl.tze5wh","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); Range (aeronautics); Data set; Set (abstract data type)","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":[],"consensus_categories":[],"category_scores_codex":[0.0009784973,0.001821546,0.001511959,0.005568909,0.0008374864,0.002352575,0.002640952,0.001678323,0.1785818],"category_scores_gemma":[0.005481411,0.0008815523,0.001090069,0.01162145,0.0004092277,0.002175266,0.002368445,0.00168229,0.2139424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001784718,"about_ca_system_score_gemma":0.002709165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03437712,"about_ca_topic_score_gemma":0.05217392,"domain_scores_codex":[0.9990326,0.0001182717,0.0001292351,0.0003145453,0.0002308948,0.0001744907],"domain_scores_gemma":[0.997511,0.0006359596,0.0002442032,0.0006046405,0.0006853951,0.0003187204],"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":[0.00002878757,0.000009294476,0.0003677514,0.000490403,0.00001448102,0.00001343875,0.00002015927,0.0001382365,0.0001093079,0.0003529754,0.9969602,0.001494939],"study_design_scores_gemma":[0.00006400723,0.000007387143,0.002279893,0.000181164,0.00001394561,0.00003155067,0.00006575161,0.0001428236,0.0002023134,0.0006841142,0.9963084,0.00001857372],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002850452,0.00001749705,0.00002967687,0.00002364328,0.00000746679,0.000003911819,0.9991075,0.0002629324,0.0005188239],"genre_scores_gemma":[0.0001443314,0.00002732264,0.0001466134,0.00003346383,0.000002800123,0.00003080605,0.9990417,0.0001171511,0.0004557534],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1785818,"threshold_uncertainty_score":0.5974157,"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."}}