{"id":"W2993202178","doi":"","title":"Contributions to Earthquake Hazard Characterization in Canada from Precision GPS Data","year":2004,"lang":"en","type":"article","venue":"AGUSM","topic":"Seismology and Earthquake Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Hazard; Remote sensing; Computer science; Geology; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001292764,0.00008348728,0.0001331377,0.00004934483,0.0001119796,0.00003314058,0.0006630191,0.00003769682,0.00001131994],"category_scores_gemma":[0.0001780444,0.00008092907,0.0000106667,0.0002875972,0.00001382032,0.0003390462,0.0003976562,0.0000949728,0.00009825473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001309861,"about_ca_system_score_gemma":0.000546137,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5631762,"about_ca_topic_score_gemma":0.9075722,"domain_scores_codex":[0.9990738,0.00003415797,0.0001722696,0.0003511822,0.0001482245,0.0002203841],"domain_scores_gemma":[0.9990823,0.00008288595,0.00003650426,0.000675749,0.00005306874,0.00006947078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000135886,0.0004043406,0.2298017,0.00001461857,0.0002243413,0.0005740909,0.006343591,0.009406445,0.006489343,0.04980732,0.02151654,0.6752818],"study_design_scores_gemma":[0.0003651597,0.00002149234,0.9773387,0.0000235542,0.000002772652,0.000003322662,0.00001822214,0.00104435,0.0005163841,0.002048635,0.01850347,0.0001139908],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7346388,0.00007767945,0.254635,0.009321771,0.0007510752,0.0001372792,0.0003419787,0.00003357691,0.00006293754],"genre_scores_gemma":[0.9953868,0.0000178547,0.00268652,0.001525888,0.00008212992,0.000008610386,0.0002618189,0.000003049572,0.00002737203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.747537,"threshold_uncertainty_score":0.4397327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01958272561699544,"score_gpt":0.251758143664512,"score_spread":0.2321754180475166,"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."}}