{"id":"W2981921192","doi":"10.4095/226359","title":"Local site effects in Ottawa, Canada - first results from a strong motion network","year":2004,"lang":"en","type":"report","venue":"","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Motion (physics); Geography; Archaeology; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008484231,0.0004034402,0.0004624525,0.0011506,0.002536512,0.001232467,0.001075248,0.0003375301,0.002491976],"category_scores_gemma":[0.003712311,0.0003420812,0.0003959245,0.003459726,0.0009071524,0.0005666105,0.001387407,0.0005731767,0.0005070471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02815356,"about_ca_system_score_gemma":0.02274182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951758,"about_ca_topic_score_gemma":0.9986055,"domain_scores_codex":[0.9983763,0.0001595096,0.00007166428,0.0002228168,0.0006446932,0.0005250498],"domain_scores_gemma":[0.9934525,0.0004888731,0.0005452089,0.0004689683,0.004078419,0.0009658964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003985247,0.0001175685,0.9582351,0.0001321806,0.0001485269,0.0005311754,0.001778563,0.004401962,0.001218686,0.0008444632,0.01044069,0.02175246],"study_design_scores_gemma":[0.00002013321,0.00007350493,0.9894294,0.00002703144,0.00007942867,0.00008069866,0.002683675,0.001247913,0.0006508733,0.00006075239,0.005617049,0.00002957022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697799,0.0003627545,0.0004522081,0.0004447253,0.00001518609,0.0001272514,0.01987503,0.00007592653,0.008867058],"genre_scores_gemma":[0.9825749,0.0002623782,0.0006890604,0.0001027275,0.00000465047,0.00003676364,0.01009009,0.00003261324,0.006206822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02815356,"threshold_uncertainty_score":0.2042693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009509621004878887,"score_gpt":0.1937219822791798,"score_spread":0.1842123612743009,"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."}}