{"id":"W4412754834","doi":"10.11159/iccste25.167","title":"Model Experiment and Numerical Analysis for the Reinforcing Bar Insertion Work with Pipe","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bar (unit); Work (physics); Computer science; Engineering; Mechanical engineering; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004367755,0.000664598,0.0005914208,0.0006366892,0.0008467613,0.0005293881,0.001180001,0.001278342,0.003297885],"category_scores_gemma":[0.0006961796,0.0003744044,0.0006323638,0.0004955116,0.0007399578,0.0006901349,0.0005330975,0.000616648,0.000430348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000679026,"about_ca_system_score_gemma":0.0006994198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006925501,"about_ca_topic_score_gemma":0.003661241,"domain_scores_codex":[0.9997332,0.00002629768,0.000012123,0.00005127426,0.0001303839,0.00004669595],"domain_scores_gemma":[0.9994678,0.0001580758,0.00008720147,0.00007170063,0.0001683721,0.00004693774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001804885,0.0002366105,0.003925436,0.0002308477,0.00002031462,0.0003422202,0.0001442751,0.9541141,0.02996225,0.002488104,0.0009875315,0.007367883],"study_design_scores_gemma":[0.00001735879,0.0001602955,0.0009841075,0.000007551031,0.00001169866,0.00001972542,0.00003390013,0.9932809,0.004813916,0.0002381398,0.0004163376,0.00001602932],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8329592,0.0007184463,0.1368038,0.000542648,0.000245487,0.0002733552,0.001106478,0.001253244,0.02609743],"genre_scores_gemma":[0.9854939,0.0001964926,0.01144748,0.0000208063,0.00001166323,0.0001559751,0.0001889048,0.0000304174,0.002454398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006925501,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0115186874408023,"score_gpt":0.2163484375403166,"score_spread":0.2048297500995143,"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."}}