{"id":"W4242875076","doi":"10.1007/s40069-014-0071-6","title":"Erratum to: Principal Component and Multiple Regression Analysis for Steel Fiber Reinforced Concrete (SFRC) Beams","year":2014,"lang":"en","type":"erratum","venue":"International Journal of Concrete Structures and Materials","topic":"Innovative concrete reinforcement materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Structural material; Principal component analysis; Structural engineering; Component (thermodynamics); Materials science; Reinforced concrete; Fiber; Fiber-reinforced concrete; Composite material; Engineering; Computer science; Artificial intelligence; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007868015,0.0006562147,0.001660551,0.0008281447,0.00009745722,0.0005750866,0.0005820733,0.0005113371,0.0003748118],"category_scores_gemma":[0.0003637114,0.0005288194,0.0002621631,0.0001361484,0.000119738,0.0002613495,0.0002542857,0.0003544889,0.000003250634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442582,"about_ca_system_score_gemma":0.00008379231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002684243,"about_ca_topic_score_gemma":0.000001421976,"domain_scores_codex":[0.996643,0.0001035794,0.001737623,0.0003592948,0.0007400545,0.0004164668],"domain_scores_gemma":[0.996919,0.0002307589,0.001229567,0.0002720937,0.001113053,0.0002355106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001840856,4.50226e-7,0.00002025808,0.0009927684,0.008931966,0.00005366377,0.0005821015,0.003559952,0.7506086,0.00313258,0.2294397,0.0008370501],"study_design_scores_gemma":[0.004265416,0.0006571312,0.0007548531,0.001412968,0.001526645,0.0002101302,0.00008646714,0.005487396,0.2155027,0.0003235402,0.7683094,0.001463335],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133469,0.001110872,0.007199623,0.000366609,0.07018647,0.001692777,0.003141892,0.0001377432,0.002817137],"genre_scores_gemma":[0.9707963,0.001170849,0.006471679,0.0005832809,0.007413284,0.0000437231,0.002071347,0.0002065013,0.01124302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5388697,"threshold_uncertainty_score":0.9997163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242655250256561,"score_gpt":0.2623143501458988,"score_spread":0.2498877976433332,"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."}}