{"id":"W1994718669","doi":"10.1007/s10950-014-9476-6","title":"On computation of conditional mean spectrum in Eastern Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Seismology","topic":"Seismic Performance and Analysis","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Magnitude (astronomy); Seismic hazard; Ground motion; Computation; Hydrogeology; Statistics; Correlation; Seismology; Mathematics; Geology; Geodesy; Physics; Geometry; Algorithm; Astrophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113992,0.00004451926,0.0001604973,0.0001512822,0.00000449136,0.000001787829,0.00005425637,0.00002639708,0.00001333066],"category_scores_gemma":[0.000009265398,0.00004018727,0.00002500595,0.000087517,0.00001294007,0.00005131181,0.000003786312,0.000110765,0.00000263328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177853,"about_ca_system_score_gemma":0.0001232245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009582306,"about_ca_topic_score_gemma":0.009587519,"domain_scores_codex":[0.9994934,0.00001439407,0.0002514948,0.00002803503,0.0001346778,0.00007798315],"domain_scores_gemma":[0.9997796,0.00002381774,0.00008412284,0.00002895553,0.00004230341,0.00004114629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002676249,0.00001827781,0.006965141,0.00001041779,0.00005429672,0.00008531686,0.0001912111,0.9875113,0.00008413605,0.00018017,0.00408097,0.0007920449],"study_design_scores_gemma":[0.00384873,0.0007743379,0.06046619,0.000162362,0.0000739565,0.000758332,0.001240191,0.8982104,0.003476927,0.02612135,0.004559184,0.0003080567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946519,0.00007492415,0.004212087,0.0004315079,0.0002444371,0.000009821628,0.000002601393,0.000002367027,0.0003703214],"genre_scores_gemma":[0.9995597,0.00000621962,0.00006390676,0.0002810365,0.00006510076,1.586481e-7,0.00000359615,0.000003892464,0.000016391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08930087,"threshold_uncertainty_score":0.997013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01335792209483924,"score_gpt":0.2225245191067043,"score_spread":0.2091665970118651,"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."}}