{"id":"W3098830338","doi":"10.1016/j.conbuildmat.2020.121473","title":"Evaluation of orientation and distribution of steel fibers in high-performance concrete column determined via micro-computed tomography","year":2020,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Korea Institute of Energy Technology Evaluation and Planning","keywords":"Materials science; Perpendicular; Column (typography); Composite material; Mold; Fiber; Volume fraction; Core (optical fiber); Orientation (vector space); Geometry; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005512274,0.0001122934,0.0002721818,0.0001010262,0.00002552065,0.00002746323,0.00003561897,0.00006559847,0.00004151743],"category_scores_gemma":[0.00004543816,0.0001239527,0.00001120276,0.0002454076,0.0001123461,0.00020084,0.00002250671,0.00002866581,3.03152e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003581379,"about_ca_system_score_gemma":0.000015703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001397866,"about_ca_topic_score_gemma":2.398901e-7,"domain_scores_codex":[0.99902,0.00007983678,0.0004927884,0.0001370429,0.0001678001,0.000102462],"domain_scores_gemma":[0.9994999,0.00002295232,0.0001827704,0.00006014741,0.0002077681,0.00002650665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005222354,5.388316e-7,0.002212853,0.0003302002,0.00002684242,1.206289e-7,0.0001196351,0.0005263365,0.9915232,0.0003376277,0.000005519261,0.004864921],"study_design_scores_gemma":[0.001185779,0.00006198799,0.01648791,0.0001103455,0.00004846174,0.000004549845,0.0000458403,0.01191388,0.9699651,0.00005269244,0.00001389263,0.0001095779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964089,0.00003734426,0.002590123,0.000009584975,0.000472903,0.0003502951,0.00007733622,0.00003963481,0.0000138376],"genre_scores_gemma":[0.997667,0.00003633094,0.002136747,0.000008153776,0.00003937351,0.00001391165,0.00008927347,0.000009032685,1.813791e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0215581,"threshold_uncertainty_score":0.5054644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01220676510742827,"score_gpt":0.2230805813927012,"score_spread":0.2108738162852729,"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."}}