{"id":"W4403933666","doi":"10.1139/cjce-2024-0333","title":"Assessment of the quality of full-depth reclamation (FDR) using a dynamic cone penetrometer (DCP): a case study","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Penetrometer; Land reclamation; Quality (philosophy); Geotechnical engineering; Environmental science; Statistics; Mathematics; Engineering; Geology; Soil science; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007373858,0.00006475481,0.0001392035,0.00005546773,0.00005007882,0.00005889129,0.0001177818,0.000022391,0.000105338],"category_scores_gemma":[0.00004321954,0.00002608822,0.00008107911,0.0002789877,0.0000141642,0.0001743641,0.00001560239,0.0001176624,1.966148e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001027039,"about_ca_system_score_gemma":0.00006673155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006593694,"about_ca_topic_score_gemma":0.1922351,"domain_scores_codex":[0.9992048,0.00006827308,0.0003849891,0.00006787424,0.0001694478,0.0001046575],"domain_scores_gemma":[0.9994984,0.00008667326,0.0002015426,0.00004335034,0.00008982042,0.00008026805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0000255763,0.0002373803,0.05010983,0.0008205972,0.001027028,0.001598815,0.00559654,0.1641233,0.7520952,0.001708313,0.0001905292,0.02246689],"study_design_scores_gemma":[0.0004431407,0.0007642711,0.8554392,0.0005841585,0.0002603926,0.001223698,0.007473841,0.1310432,0.0002947214,0.000150302,0.002009426,0.0003136527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983932,0.0001383502,0.000605593,0.0002304893,0.0003824703,0.000118867,0.00001054184,0.00000337604,0.0001171423],"genre_scores_gemma":[0.9997594,0.000003159955,0.0001619372,0.00000904735,0.00003821107,0.000001020748,9.356964e-7,0.000001141429,0.00002519772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8053293,"threshold_uncertainty_score":0.9967737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04001847220643283,"score_gpt":0.2898951312021856,"score_spread":0.2498766589957527,"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."}}