{"id":"W3027971977","doi":"","title":"Seismic variability of subduction thrust faults: insights from laboratory models","year":2010,"lang":"en","type":"article","venue":"AGUFM","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Slip (aerodynamics); Geology; Surface finish; Surface roughness; Amplitude; Thrust; Subduction; Mechanics; Overburden pressure; Thrust fault; Fault (geology); Geotechnical engineering; Seismology; Materials science; Optics; Tectonics; Composite material; Engineering; Physics","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":[0.0003071367,0.0003657736,0.000377923,0.0002926669,0.0001297139,0.0005204647,0.0008236945,0.0005145349,0.000599084],"category_scores_gemma":[0.0008697133,0.0001611968,0.0004170316,0.0003025081,0.0004172279,0.000445039,0.0003755548,0.0003357857,0.00007643551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431437,"about_ca_system_score_gemma":0.0001850471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003183155,"about_ca_topic_score_gemma":0.001695971,"domain_scores_codex":[0.9999133,0.00002582617,0.000007660924,0.00002639197,0.00001324315,0.00001358356],"domain_scores_gemma":[0.9996511,0.0001371512,0.00008413378,0.00006845195,0.00003150651,0.00002777877],"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":[0.0004897987,0.000359844,0.04945615,0.0001284156,0.0001669904,0.0002559544,0.0001247498,0.9064524,0.03123839,0.004402137,0.0007226533,0.006202424],"study_design_scores_gemma":[0.0000489941,0.0001835978,0.01653365,0.000007060788,0.00003673088,0.0000359881,0.00004081456,0.9787321,0.0030336,0.001014399,0.0003098425,0.00002329712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927469,0.0001052763,0.005349456,0.00006748756,0.000005181069,0.00001225149,0.0005915475,0.0001161477,0.001005734],"genre_scores_gemma":[0.9990795,0.00005403344,0.0004792456,0.00000416387,0.00000385558,0.00001175044,0.0002885536,0.000006800817,0.00007214156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003183155,"threshold_uncertainty_score":0.006329238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01129478795875502,"score_gpt":0.1965326806301517,"score_spread":0.1852378926713967,"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."}}