{"id":"W2325732122","doi":"10.1061/40797(172)37","title":"Investigation of Progressive Failure in Composite Soils Using an X-Ray CT Scanner","year":2005,"lang":"en","type":"article","venue":"","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Composite number; Scanner; Slurry; Compression (physics); Materials science; Composite material; Soil water; Geotechnical engineering; Computer science; Environmental science; Geology; Soil science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003003932,0.0003306167,0.0002215492,0.0008415996,0.0002037799,0.0001902065,0.0002521211,0.0003579949,0.00132335],"category_scores_gemma":[0.0006241077,0.0002110112,0.0001200656,0.000316186,0.0003853728,0.0002835634,0.0002896838,0.0002080058,0.0001433783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008718749,"about_ca_system_score_gemma":0.0001723052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007324144,"about_ca_topic_score_gemma":0.001157394,"domain_scores_codex":[0.9998362,0.00002769185,0.000009126355,0.0000226486,0.00008256655,0.00002166921],"domain_scores_gemma":[0.9994352,0.000239889,0.00009462831,0.00004785584,0.0001252791,0.00005703001],"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":[0.0001959154,0.00002811443,0.004404702,0.00006442906,0.000006227305,0.0002930324,0.00007468616,0.0005910218,0.9894264,0.00004964767,0.00002021144,0.004845591],"study_design_scores_gemma":[0.00002901696,0.002609105,0.1213787,0.00003060689,0.00006236038,0.003920727,0.0003019237,0.01392318,0.8562233,0.0001041143,0.001374817,0.00004218714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905041,0.0003072079,0.008473664,0.00001289688,0.000005137733,0.00003161786,0.0000547784,0.00004430788,0.0005661486],"genre_scores_gemma":[0.9906842,0.0002251626,0.008461409,0.00001270232,0.000006000999,0.00001483011,0.00006484461,0.000008837089,0.0005219455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00132335,"threshold_uncertainty_score":0.004427016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929417747918337,"score_gpt":0.2333310335258644,"score_spread":0.214036856046681,"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."}}