{"id":"W6962096913","doi":"10.15468/dl.zqyqab","title":"Occurrence Download","year":2015,"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":[0.0009849286,0.001856678,0.00158877,0.005392288,0.0008610245,0.002472867,0.002826278,0.001921785,0.1411451],"category_scores_gemma":[0.006075028,0.0008639095,0.001173191,0.0104579,0.0004130747,0.002171934,0.002425596,0.001846077,0.1859384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567027,"about_ca_system_score_gemma":0.002387226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02187222,"about_ca_topic_score_gemma":0.03587962,"domain_scores_codex":[0.9989522,0.0001416189,0.000144543,0.000359603,0.0002299263,0.0001720676],"domain_scores_gemma":[0.9974939,0.0006881653,0.0002657891,0.0006472657,0.0006147465,0.0002901946],"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":[0.00002884432,0.00001108767,0.0004672011,0.0005529702,0.00001844482,0.00001470182,0.00002238003,0.000145289,0.0001015351,0.0003780994,0.996808,0.001451499],"study_design_scores_gemma":[0.0000774896,0.000008669114,0.002444308,0.0002218289,0.00001775174,0.0000400602,0.00007079929,0.0001690046,0.0001832769,0.0007663804,0.9959823,0.00001813984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000447494,0.00002946344,0.00003896764,0.00003249871,0.00001038721,0.000004731329,0.9990073,0.0002908878,0.0005410833],"genre_scores_gemma":[0.0001663652,0.00003305791,0.0001542765,0.00003914168,0.000003196688,0.00003385577,0.9990797,0.0001000568,0.000390346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8588549,"threshold_uncertainty_score":0.4721773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}