{"id":"W6925091436","doi":"10.15468/dl.udvtq3","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien","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":[0.0008698862,0.001988854,0.00146615,0.004759571,0.0009919981,0.002363178,0.002622214,0.002075241,0.1299499],"category_scores_gemma":[0.005390986,0.0008235368,0.001289634,0.008975171,0.0004381346,0.002141781,0.002327369,0.001917364,0.2061118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516629,"about_ca_system_score_gemma":0.002245539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02590338,"about_ca_topic_score_gemma":0.04160802,"domain_scores_codex":[0.9989906,0.0001367439,0.0001274784,0.000350957,0.0002266808,0.0001676565],"domain_scores_gemma":[0.9977113,0.0006386371,0.000194879,0.0006018575,0.0006023082,0.0002509777],"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":[0.00003098721,0.00001361298,0.0004243721,0.0004686449,0.00001398788,0.0000165217,0.00002321589,0.0001375198,0.0001189188,0.0003351151,0.9969606,0.001456523],"study_design_scores_gemma":[0.00007550084,0.00001022266,0.002358056,0.0001874218,0.00001521562,0.00004125017,0.00009160701,0.0002163041,0.0002134274,0.0007656484,0.996006,0.00001933233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005330139,0.00002564382,0.00004566629,0.00003806969,0.0000123444,0.000005789605,0.9987791,0.0004206902,0.0006192898],"genre_scores_gemma":[0.000164217,0.00003016884,0.0001881935,0.00004000223,0.000003514542,0.00003636958,0.9989649,0.0001234279,0.0004492314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8700501,"threshold_uncertainty_score":0.4347258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202854819663219,"score_gpt":0.201807924923593,"score_spread":0.1897793767269608,"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."}}