{"id":"W6887238568","doi":"10.15468/dl.t3gvzk","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001017345,0.002124259,0.001752944,0.005639895,0.0009785468,0.002623196,0.003020985,0.002005532,0.1721464],"category_scores_gemma":[0.005836056,0.001011821,0.001165482,0.01213672,0.0004694262,0.002334428,0.0026102,0.001972802,0.2263545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818983,"about_ca_system_score_gemma":0.002763499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02989476,"about_ca_topic_score_gemma":0.04364661,"domain_scores_codex":[0.9989592,0.0001246741,0.00013669,0.0003522982,0.0002411762,0.0001859777],"domain_scores_gemma":[0.9975387,0.0006604847,0.0002341475,0.000624157,0.000632016,0.0003104827],"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":[0.00003181079,0.00001053734,0.0003425433,0.0005715467,0.00001521542,0.00001599035,0.00002558481,0.0001249366,0.000125362,0.0003881228,0.9969694,0.001379135],"study_design_scores_gemma":[0.00007338268,0.000007113195,0.001986261,0.0001820611,0.00001475203,0.00003549113,0.00007187238,0.0001351267,0.0002038699,0.0006922196,0.9965789,0.00001900328],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003166006,0.00001904192,0.0000339267,0.00002439811,0.000008079389,0.000004039562,0.9990221,0.0003184419,0.0005382636],"genre_scores_gemma":[0.0001275737,0.00002642148,0.0001522955,0.00003254187,0.000002423629,0.00003374905,0.9991021,0.0001346587,0.0003881858],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8278536,"threshold_uncertainty_score":0.5758871,"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."}}