{"id":"W1974721440","doi":"10.1520/gtj100552","title":"Characterization of Glyben for Seismic Applications","year":2007,"lang":"en","type":"article","venue":"Geotechnical Testing Journal","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Geology; Geotechnical engineering; Characterization (materials science); Seismology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120806,0.00006855377,0.0001114929,0.0001106528,0.0001888338,0.0000266773,0.0001911369,0.00006559907,0.00006589585],"category_scores_gemma":[0.0002722092,0.00005858292,0.00005696007,0.0002433503,0.00008453209,0.0001138031,0.000007429007,0.0001913538,0.000009129326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005904701,"about_ca_system_score_gemma":0.00004104454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006093315,"about_ca_topic_score_gemma":6.967829e-7,"domain_scores_codex":[0.9991837,0.00001524853,0.0003322303,0.0001086674,0.0001486511,0.0002115749],"domain_scores_gemma":[0.9991269,0.0003081285,0.0002226028,0.000101821,0.0001522413,0.00008830505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002932873,0.00002496413,0.01171853,0.00002294212,0.000008023176,0.00000251875,0.0000202309,0.000554931,0.02366832,0.00009079517,0.0005946122,0.9632648],"study_design_scores_gemma":[0.001148122,0.001058306,0.1967429,0.0003269045,0.00009465803,0.001253496,0.0001380181,0.394896,0.08877269,0.03670228,0.2781357,0.0007309354],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1582632,0.00003630558,0.8400018,0.0003396925,0.00008675367,0.0001964172,0.0000233699,0.0001232283,0.0009293019],"genre_scores_gemma":[0.9542913,0.00001200452,0.0448352,0.000534445,0.0002341472,0.000001413537,0.00003511667,0.000003754357,0.00005262775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625339,"threshold_uncertainty_score":0.2388942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916852184066423,"score_gpt":0.2546985522179263,"score_spread":0.225530030377262,"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."}}