{"id":"W4404986528","doi":"10.48550/arxiv.2411.15499","title":"Asymmetric Errors","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Banff International Research Station for Mathematical Innovation and Discovery; U.S. Department of Energy","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01564623,0.003350032,0.002189072,0.007361124,0.003675329,0.006883882,0.00574208,0.003430163,0.03977967],"category_scores_gemma":[0.1194848,0.001484469,0.003170114,0.00649847,0.003448833,0.008039881,0.01123249,0.007024024,0.02137998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576435,"about_ca_system_score_gemma":0.003097087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755196,"about_ca_topic_score_gemma":0.001497877,"domain_scores_codex":[0.9624014,0.006741904,0.003785172,0.007020751,0.01806161,0.001989125],"domain_scores_gemma":[0.919636,0.01933212,0.00650386,0.03361728,0.01963572,0.001274996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005647023,0.0001247956,0.004514575,0.0005815709,0.0002723272,0.0009680587,0.0008539653,0.0194422,0.01003782,0.481748,0.04666401,0.434228],"study_design_scores_gemma":[0.0001369958,0.0001689854,0.002361505,0.0005221371,0.0002798307,0.001906747,0.0003278952,0.06905754,0.04793024,0.626496,0.2504903,0.000321852],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003278693,0.0002611182,0.9733449,0.0006987147,0.001222906,0.000208552,0.001188899,0.003071392,0.01672494],"genre_scores_gemma":[0.1330573,0.0008299123,0.8116549,0.001733491,0.001981542,0.0009527313,0.003237061,0.008701576,0.03785143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03977967,"threshold_uncertainty_score":0.1330763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2149656346657044,"score_gpt":0.2494067536634139,"score_spread":0.03444111899770955,"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."}}