{"id":"W6887181479","doi":"10.15468/dl.zhb9sw","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); Confidentiality; Order (exchange)","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":[0.0009849975,0.001936577,0.00157261,0.005287996,0.0008786287,0.002584374,0.0027796,0.001898409,0.1388483],"category_scores_gemma":[0.005764765,0.0008488023,0.001186984,0.01035124,0.0004148232,0.002171275,0.002658969,0.001877499,0.2056884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001580875,"about_ca_system_score_gemma":0.002352373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02056151,"about_ca_topic_score_gemma":0.03399123,"domain_scores_codex":[0.9988978,0.0001456529,0.0001477001,0.0003691409,0.0002491377,0.0001905963],"domain_scores_gemma":[0.9976178,0.0005712885,0.0002626876,0.0006575002,0.0005965059,0.0002941858],"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":[0.00003254913,0.00001126497,0.0004392729,0.0005346341,0.00001764028,0.0000144304,0.00002161319,0.0001277621,0.0001165741,0.0003950791,0.9967894,0.001499784],"study_design_scores_gemma":[0.00007471763,0.000008744682,0.002162642,0.000197951,0.00001588856,0.00003716428,0.00006123598,0.0001476258,0.0001973133,0.0007697868,0.9963099,0.00001697189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000436829,0.00002974725,0.00003784816,0.000031458,0.00001039461,0.000005022722,0.99893,0.0003360077,0.0005757242],"genre_scores_gemma":[0.0001546625,0.00003274618,0.0001523159,0.00003980779,0.000003152696,0.00003224689,0.9990801,0.0001050822,0.0003999028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8611518,"threshold_uncertainty_score":0.4644937,"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."}}