{"id":"W4255352387","doi":"10.1007/978-3-662-53120-4_300562","title":"Quasi-static Errors","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007151514,0.001111328,0.0008966082,0.0009241478,0.0005345573,0.001844738,0.001062037,0.00123173,0.03608204],"category_scores_gemma":[0.002306424,0.0004667896,0.0004922253,0.001085731,0.001942024,0.002298047,0.001601525,0.001959013,0.01257552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008682842,"about_ca_system_score_gemma":0.0006835779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007409271,"about_ca_topic_score_gemma":0.0007872911,"domain_scores_codex":[0.9990908,0.000120541,0.00003991394,0.0001874857,0.000521293,0.00003996479],"domain_scores_gemma":[0.9991941,0.0002405339,0.00006187473,0.0002406077,0.0002350668,0.00002796508],"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":[0.00003724027,0.0000150843,0.00006697843,0.0001833574,0.0000139149,0.00004646372,0.00006643748,0.01215791,0.002909625,0.8219529,0.02272326,0.1398268],"study_design_scores_gemma":[0.0000130124,0.00009396276,0.0004079248,0.0002163357,0.00002592897,0.0003604584,0.00006109348,0.05088233,0.006140558,0.6567515,0.2850037,0.00004331746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002421938,0.005852874,0.6122645,0.001229148,0.002793967,0.00004314478,0.0003656315,0.0005828305,0.374446],"genre_scores_gemma":[0.1113504,0.007362671,0.07049295,0.000864805,0.001478423,0.0001145986,0.0005780509,0.0008485356,0.8069096],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03608204,"threshold_uncertainty_score":0.1207065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1259643590093711,"score_gpt":0.3267775242476277,"score_spread":0.2008131652382566,"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."}}