{"id":"W6906116957","doi":"10.15468/dl.tceyhv","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); China; 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":[0.001092779,0.002080515,0.001654775,0.00535707,0.001031716,0.002747963,0.003170536,0.002261804,0.1726636],"category_scores_gemma":[0.006970846,0.001050464,0.001213001,0.01052177,0.0004885193,0.002497172,0.00249978,0.002185732,0.2196753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001877884,"about_ca_system_score_gemma":0.002547461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.025723,"about_ca_topic_score_gemma":0.03596663,"domain_scores_codex":[0.9988797,0.000156213,0.000142215,0.0003733692,0.0002671359,0.0001813868],"domain_scores_gemma":[0.9972945,0.0008071326,0.0002439014,0.0007123457,0.0006339644,0.0003080593],"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":[0.00002807568,0.00001122732,0.0003115815,0.000450129,0.00001258593,0.00001365521,0.00002069598,0.0001285773,0.00008428012,0.0003122187,0.9972708,0.001356209],"study_design_scores_gemma":[0.0000896105,0.00000873097,0.001853904,0.0001910916,0.00001398649,0.00004003016,0.00007930288,0.0002255915,0.0001871041,0.0007670508,0.9965251,0.00001842985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003778819,0.00002293308,0.0000415085,0.00004005505,0.00001073883,0.000005781119,0.998857,0.0004229729,0.0005610798],"genre_scores_gemma":[0.0001544932,0.00002975319,0.000187708,0.00004201122,0.000003083284,0.00004644961,0.9989248,0.000149992,0.0004617611],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273364,"threshold_uncertainty_score":0.5776173,"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."}}