{"id":"W6962284814","doi":"10.15468/dl.luciqv","title":"Occurrence Download","year":2017,"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); Field (mathematics); Range (aeronautics)","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":[0.001058453,0.002101011,0.001575856,0.005747399,0.0009747178,0.002730459,0.002911885,0.001957854,0.148908],"category_scores_gemma":[0.006391173,0.000891305,0.00121386,0.01089333,0.0004563879,0.002509693,0.002935263,0.002083185,0.2335043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663391,"about_ca_system_score_gemma":0.002626189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02462051,"about_ca_topic_score_gemma":0.04286116,"domain_scores_codex":[0.9987743,0.000166438,0.0001564043,0.0004052201,0.0002859769,0.0002115258],"domain_scores_gemma":[0.997203,0.000674369,0.0002658422,0.0007464705,0.0007683079,0.0003421405],"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":[0.00002564297,0.000009352999,0.000320812,0.0004217197,0.00001338852,0.00001246028,0.00001982263,0.00009291022,0.00008438316,0.0003451237,0.9974527,0.001201622],"study_design_scores_gemma":[0.00006515684,0.000007272082,0.001641799,0.0001712192,0.00001265121,0.00003232617,0.00006506003,0.0001292933,0.0001664298,0.000741462,0.9969517,0.00001561889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003924885,0.00002613928,0.00004040301,0.00003454096,0.00001131634,0.000005330367,0.9988176,0.0003895821,0.0006358152],"genre_scores_gemma":[0.0001354721,0.00003080159,0.0001586633,0.00003943316,0.000003488086,0.00003475354,0.9990344,0.0001372102,0.00042579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.851092,"threshold_uncertainty_score":0.4981468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}