{"id":"W6887305146","doi":"10.15468/dl.zpjmmp","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; Confidentiality","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":[0.001143678,0.001966864,0.001730389,0.005954206,0.00093383,0.002624221,0.002948974,0.002097637,0.1906212],"category_scores_gemma":[0.006815583,0.0009887961,0.00113796,0.01193839,0.0004722413,0.002406616,0.002574535,0.002003612,0.2275958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673555,"about_ca_system_score_gemma":0.002554277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02085297,"about_ca_topic_score_gemma":0.03160363,"domain_scores_codex":[0.9988538,0.0001494472,0.0001548803,0.0003836829,0.0002642798,0.0001939329],"domain_scores_gemma":[0.9971487,0.0008296319,0.0002824924,0.0007017278,0.0006978937,0.0003396426],"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":[0.0000312438,0.00001041262,0.0003619356,0.0006114267,0.00001492832,0.00001470972,0.0000231281,0.0001235671,0.0001132112,0.000400477,0.9968388,0.001456148],"study_design_scores_gemma":[0.00007151384,0.000007237336,0.00182962,0.0002059443,0.00001430435,0.00003437193,0.00006596916,0.0001229756,0.0001839179,0.0007160913,0.996731,0.00001713186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003023328,0.00002211692,0.00003339801,0.00002785026,0.000008487161,0.000004235226,0.9990471,0.0002697972,0.0005568865],"genre_scores_gemma":[0.0001454215,0.00003046667,0.0001640554,0.00003986934,0.000002948135,0.00003766598,0.9989792,0.0001335874,0.0004666803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8093787,"threshold_uncertainty_score":0.6376916,"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."}}