{"id":"W6924619146","doi":"10.15468/dl.pktfw7","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; State (computer science)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004687638,0.0005085135,0.0004712665,0.0001268156,0.0004000537,0.0001771859,0.0009322329,0.0004721452,0.03622814],"category_scores_gemma":[0.00007990467,0.0006148044,0.0002512948,0.0005526565,0.0001671157,0.001182727,0.0006871996,0.0009100438,0.04322447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303129,"about_ca_system_score_gemma":0.0001031748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803654,"about_ca_topic_score_gemma":0.00005549955,"domain_scores_codex":[0.9975923,0.0001029119,0.0006153,0.0003181796,0.0008078403,0.0005634645],"domain_scores_gemma":[0.9984602,0.00003626505,0.000197471,0.000925006,0.0001558986,0.0002252046],"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":[0.00004608386,0.0000406427,0.0003940015,0.0004656046,0.00006668941,0.000004576193,0.00008356737,0.001965075,2.964167e-8,1.34281e-7,0.9956381,0.001295502],"study_design_scores_gemma":[0.0004613229,0.00003492212,0.00007480408,0.000002297339,0.00008624628,0.000007710103,0.000121423,0.00001316449,0.000001922338,0.000002205665,0.9986402,0.0005537969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008266839,0.0001545856,0.000016948,0.00002633786,0.003041509,0.0005695994,0.9945638,0.0005167607,0.0002837603],"genre_scores_gemma":[0.0001103903,0.0002209495,0.000001489062,0.0002262407,0.000005433094,0.00001945457,0.9994158,8.196206e-8,1.404861e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006996335,"threshold_uncertainty_score":0.9996303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008859083398654695,"score_gpt":0.1907106404266396,"score_spread":0.1818515570279849,"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."}}