{"id":"W4400491008","doi":"10.1007/s10706-024-02852-y","title":"Compilation of Consolidation Properties Data of Champlain Sea Clay from Ottawa Region","year":2024,"lang":"en","type":"article","venue":"Geotechnical and Geological Engineering","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Ottawa; Ministry of Transportation of Ontario","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Consolidation (business); Geotechnical engineering; Human settlement; Hydrogeology; Soil water; Geology; Geotechnical investigation; Environmental science; Hydrology (agriculture); Civil engineering; Soil science; Engineering; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002334214,0.0004304071,0.0002719018,0.005780454,0.001095783,0.0008304889,0.0005321073,0.0002666222,0.001792557],"category_scores_gemma":[0.0009354508,0.0002388519,0.0003034353,0.006203623,0.0005910126,0.0003089233,0.0005383937,0.0002387467,0.0006982334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005455558,"about_ca_system_score_gemma":0.007851675,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9031578,"about_ca_topic_score_gemma":0.9731759,"domain_scores_codex":[0.9995603,0.00001405308,0.00005913912,0.00007639643,0.0002055932,0.00008454976],"domain_scores_gemma":[0.997188,0.0001303351,0.0004317568,0.0001706411,0.001837024,0.0002421504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002107542,0.00007713705,0.9095524,0.0004545298,0.00009879962,0.00165379,0.003002682,0.003408831,0.01556044,0.0002759841,0.00592464,0.05977999],"study_design_scores_gemma":[0.000004458279,0.00002719664,0.9847179,0.00004409713,0.00003401036,0.0001458496,0.001553986,0.0005989593,0.002473153,0.00002155251,0.01035138,0.00002745851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953436,0.0004358735,0.0006594863,0.00005338882,0.00001058606,0.00010873,0.03654649,0.0001076024,0.008641921],"genre_scores_gemma":[0.9572316,0.0007121723,0.002315357,0.00003614399,0.000009317524,0.0001204118,0.03272384,0.00003410589,0.006817022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09684223,"threshold_uncertainty_score":0.1948251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0369811779939232,"score_gpt":0.2127005404342794,"score_spread":0.1757193624403562,"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."}}