{"id":"W6924852226","doi":"10.15468/dl.pqggej","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":"Geodetic datum; Matching (statistics); Download; Range (aeronautics); Set (abstract data type)","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":[0.0008784801,0.002010864,0.001537564,0.005286993,0.001039181,0.002662599,0.002875626,0.001906358,0.1463929],"category_scores_gemma":[0.00563859,0.0008444022,0.001221039,0.01018327,0.0004408084,0.002275016,0.002579607,0.001914536,0.2225519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514693,"about_ca_system_score_gemma":0.002405248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02649244,"about_ca_topic_score_gemma":0.04116255,"domain_scores_codex":[0.9990165,0.0001292478,0.0001203955,0.0003343218,0.0002268292,0.0001726014],"domain_scores_gemma":[0.9977919,0.0005779147,0.0001953708,0.0006161502,0.0005676152,0.0002510475],"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":[0.00002598253,0.00001073538,0.0004056562,0.0003973113,0.00001363052,0.00001583667,0.00002348703,0.0001221923,0.00009480784,0.000327197,0.997168,0.001395076],"study_design_scores_gemma":[0.00006644381,0.000008488762,0.00217416,0.0001793064,0.00001475568,0.00004468687,0.00009277772,0.0002023092,0.0002018829,0.0008024959,0.9961946,0.00001808972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005551005,0.00003072563,0.00005144328,0.00004071805,0.00001426908,0.000005296944,0.9986076,0.0005130153,0.0006815118],"genre_scores_gemma":[0.0001638803,0.00003007539,0.0001716462,0.00003569754,0.000003467004,0.00003234972,0.9989688,0.0001433426,0.0004506558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8536071,"threshold_uncertainty_score":0.489733,"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."}}