{"id":"W6924753054","doi":"10.15468/dl.mcwu88","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); Herbarium; Range (aeronautics); 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":[0.001065158,0.002151594,0.00160641,0.005128853,0.001056231,0.002475688,0.003124813,0.002233267,0.1436316],"category_scores_gemma":[0.006262862,0.0009776433,0.001250523,0.009243242,0.000481858,0.002541097,0.002658501,0.002177704,0.1973355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943951,"about_ca_system_score_gemma":0.002554659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0276169,"about_ca_topic_score_gemma":0.04335665,"domain_scores_codex":[0.9988587,0.0001460416,0.0001419808,0.000399024,0.000270753,0.0001835091],"domain_scores_gemma":[0.9971928,0.0007593947,0.0002438356,0.0007924949,0.00067587,0.000335635],"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":[0.00003196706,0.00001279034,0.0003442584,0.00044125,0.00001331428,0.0000154539,0.00002211563,0.0001366688,0.0001139969,0.000370034,0.997163,0.001335104],"study_design_scores_gemma":[0.00008257716,0.000009636986,0.002057213,0.0001657753,0.0000137932,0.00004241589,0.0000758127,0.0002086129,0.0002257934,0.0007626149,0.996336,0.00001979364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000048158,0.00002286869,0.00004850193,0.00003919312,0.00001265054,0.000005777099,0.9987577,0.0004635869,0.0006016439],"genre_scores_gemma":[0.0001485153,0.00002438122,0.000194945,0.00003729492,0.000002931772,0.00003652443,0.9989944,0.000139616,0.0004214254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8563684,"threshold_uncertainty_score":0.4804956,"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."}}