{"id":"W4415167283","doi":"10.3390/buildings15203696","title":"Correction: Ahmadianroohbakhsh et al. Approximating Helical Pile Pullout Resistance Using Metaheuristic-Enabled Fuzzy Hybrids. Buildings 2023, 13, 347","year":2025,"lang":"en","type":"article","venue":"Buildings","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pile; Fuzzy logic; Finite element method","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":[0.0004985168,0.0003535991,0.0004165958,0.0003207804,0.0003406248,0.0003033823,0.0002645379,0.0001608045,0.0001319989],"category_scores_gemma":[0.0003724732,0.0003862922,0.0001471539,0.001070575,0.00009431969,0.000423954,0.00006700921,0.0006017765,0.00004642871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003232601,"about_ca_system_score_gemma":0.0001169842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002024861,"about_ca_topic_score_gemma":0.0001101826,"domain_scores_codex":[0.9979817,0.00006388334,0.0006587285,0.0005133266,0.0002982601,0.0004841546],"domain_scores_gemma":[0.9990098,0.0001464044,0.0001302429,0.0003561066,0.0002319531,0.0001254623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001078902,0.00008375342,0.001201837,0.000401656,0.0003376348,0.00002607825,0.0003941321,0.01369701,0.08379187,0.06471072,0.8033823,0.03186516],"study_design_scores_gemma":[0.000922139,0.00002741896,0.0004523259,0.0008259164,0.0001669231,0.0001087588,0.0003955186,0.1179162,0.02726533,0.003353033,0.847726,0.0008403363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2717216,0.004500019,0.5333348,0.00297004,0.01272015,0.001059393,0.00006833797,0.002376314,0.1712494],"genre_scores_gemma":[0.9022406,0.0003247046,0.07793751,0.00347207,0.0004826415,0.0001884721,0.00006130966,0.0001681859,0.01512453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.630519,"threshold_uncertainty_score":0.9998589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009285314522379734,"score_gpt":0.2380828827927892,"score_spread":0.2287975682704094,"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."}}