{"id":"W6887263628","doi":"10.15468/dl.uqiszs","title":"Occurrence Download","year":2019,"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","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":[0.001041464,0.001947758,0.001591993,0.005616807,0.0009617964,0.002622376,0.002795744,0.001825905,0.1827039],"category_scores_gemma":[0.006085685,0.0009158807,0.001180491,0.01090996,0.0004319003,0.002444903,0.002693069,0.001939429,0.2561637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016173,"about_ca_system_score_gemma":0.002553356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02484008,"about_ca_topic_score_gemma":0.0414184,"domain_scores_codex":[0.9988629,0.0001549889,0.0001537388,0.0003800066,0.0002531731,0.00019533],"domain_scores_gemma":[0.9971768,0.0007160952,0.0002732815,0.000745999,0.0007687178,0.0003191461],"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":[0.00002790479,0.000008601722,0.0003010107,0.0005086051,0.0000139726,0.0000120515,0.00001988009,0.0000914764,0.0001002792,0.0003629525,0.9972167,0.001336581],"study_design_scores_gemma":[0.0000582044,0.000006419778,0.001499136,0.0001741629,0.00001271483,0.00002847498,0.00005662714,0.00009313232,0.000160511,0.0007007737,0.9971946,0.0000152552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002892335,0.00002356019,0.00003756785,0.00002990055,0.000009957735,0.000004709465,0.998892,0.0003294679,0.0006439773],"genre_scores_gemma":[0.0001332025,0.0000346177,0.0001748985,0.00004488313,0.000003507488,0.00003486286,0.9989261,0.0001546069,0.0004932727],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8172961,"threshold_uncertainty_score":0.6112055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}