{"id":"W6887202671","doi":"10.15468/dl.us4odd","title":"Occurrence Download","year":2018,"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); Order (exchange); Data set","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":[0.0008463718,0.001918825,0.001605673,0.005722406,0.001102697,0.002991924,0.002925047,0.002064053,0.1538257],"category_scores_gemma":[0.006249048,0.0008990283,0.00126523,0.01184607,0.0004173677,0.002636023,0.002640836,0.002123267,0.2274487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731906,"about_ca_system_score_gemma":0.002532763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02222701,"about_ca_topic_score_gemma":0.03653533,"domain_scores_codex":[0.9988996,0.0001395397,0.0001505674,0.0003817288,0.0002453322,0.0001832815],"domain_scores_gemma":[0.9976126,0.0006305201,0.000216385,0.000600701,0.0006718704,0.0002678494],"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":[0.00002838861,0.00001018789,0.0004107509,0.0005831678,0.00001491437,0.00001679429,0.00002496571,0.0001197062,0.00009308994,0.0004153678,0.9965479,0.001734832],"study_design_scores_gemma":[0.00005551325,0.000006634907,0.001459736,0.0001908975,0.00001291775,0.00003756351,0.00007604148,0.0001536021,0.0001484181,0.0007720799,0.9970713,0.00001539206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000456434,0.00003825286,0.00005339232,0.00004278854,0.00001385394,0.000005471378,0.9985346,0.0004692888,0.0007966721],"genre_scores_gemma":[0.0001703336,0.00004445909,0.0002159661,0.00004596662,0.000003901708,0.00003869051,0.9988046,0.0001516282,0.0005244855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461744,"threshold_uncertainty_score":0.5145981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}