{"id":"W2973032225","doi":"","title":"Microseismic noise measurements for microzonation of Great Toronto Area (GTA)","year":2007,"lang":"en","type":"article","venue":"Seismological Research Letters","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Microseism; Seismology; Geology; Noise (video); Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.0001026326,0.0002857524,0.0001451918,0.001149413,0.001260909,0.0005386144,0.0004658834,0.0003096363,0.002060627],"category_scores_gemma":[0.0005768982,0.0001507832,0.0001382015,0.001518937,0.0002098103,0.0002815854,0.0005986214,0.0003081753,0.0005713029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003428072,"about_ca_system_score_gemma":0.003410869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8720131,"about_ca_topic_score_gemma":0.9627437,"domain_scores_codex":[0.9998478,0.000009060956,0.000007349798,0.00003628682,0.00006437297,0.00003508068],"domain_scores_gemma":[0.9996831,0.00001443115,0.00003660535,0.00001337866,0.0001863069,0.00006625396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005429888,0.00006573639,0.8220649,0.0002089979,0.000103492,0.0008980025,0.007659991,0.00828533,0.06285105,0.001269414,0.01590171,0.08014828],"study_design_scores_gemma":[0.0000122271,0.00002146075,0.9878312,0.00001231104,0.00001629941,0.0000540061,0.001129077,0.003400782,0.0016434,0.00006046338,0.005807616,0.00001121464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757402,0.0003237393,0.002074,0.0003176775,0.00005699458,0.0000703467,0.008006403,0.0001580582,0.01325267],"genre_scores_gemma":[0.9904706,0.0001175827,0.002012482,0.00004228817,0.00002347804,0.00003545176,0.002068633,0.0000294031,0.005200036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1279869,"threshold_uncertainty_score":0.2574813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1324171073381155,"score_gpt":0.3438550575271809,"score_spread":0.2114379501890654,"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."}}