{"id":"W4409533479","doi":"10.1139/cgj-2024-0811","title":"Laboratory scale column penetration tests for deep mixing purposes","year":2025,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trafikverket; Norges Forskningsråd","keywords":"Geotechnical engineering; Penetration (warfare); Geology; Column (typography); Penetration test; Scale (ratio); Mixing (physics); Forensic engineering; Environmental science; Engineering; Structural engineering; Operations research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002029972,0.0001071288,0.0001330309,0.000184093,0.0002373656,0.0001728295,0.0001875361,0.0001493151,0.0000250903],"category_scores_gemma":[0.00009446126,0.0001173896,0.00006023643,0.0003224625,0.00003253916,0.0001584065,0.000009023339,0.000289033,0.000006631738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039001,"about_ca_system_score_gemma":0.0003527457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004287617,"about_ca_topic_score_gemma":0.02729682,"domain_scores_codex":[0.9991549,0.00001383117,0.0002491796,0.0001077869,0.00008230792,0.0003920228],"domain_scores_gemma":[0.9993036,0.00005095051,0.00002395652,0.0001336962,0.0001203726,0.0003674207],"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":[0.00004745658,0.0001210333,0.02351318,0.0003031972,0.000299608,0.0002238177,0.0001671802,0.5969847,0.08665953,0.005149526,0.1361079,0.1504229],"study_design_scores_gemma":[0.0008493635,0.00009573325,0.02773893,0.0001402589,0.00007501559,0.00007505251,0.00008342144,0.8290025,0.005704292,0.00321291,0.1325255,0.0004970151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132086,0.001498294,0.08185121,0.0009740655,0.0009761268,0.0003950332,0.0000647109,0.0002186685,0.000813306],"genre_scores_gemma":[0.9977538,0.00004499309,0.001551091,0.0003952867,0.0001600096,0.00002377901,0.000005329937,0.00001951607,0.00004619131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2320178,"threshold_uncertainty_score":0.9904525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008290114215590238,"score_gpt":0.2297886865423204,"score_spread":0.2214985723267301,"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."}}