{"id":"W2138204878","doi":"10.1061/40754(183)135","title":"Selecting Pile Construction Method Using Fuzzy Approach","year":2005,"lang":"en","type":"article","venue":"","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Pile; Robustness (evolution); Fuzzy logic; Sensitivity (control systems); Computer science; Fuzzy set; Engineering; Data mining; Artificial intelligence; Algorithm","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":[0.0008239237,0.0004073301,0.0004330154,0.001333539,0.0003828774,0.0007844712,0.0004596927,0.0004686516,0.002529893],"category_scores_gemma":[0.002384966,0.0002037478,0.0004133724,0.0006975523,0.0002538411,0.0007055723,0.0004534804,0.0002184436,0.0005190077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003495322,"about_ca_system_score_gemma":0.0005385987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00211669,"about_ca_topic_score_gemma":0.002782888,"domain_scores_codex":[0.9993599,0.0001735254,0.00003651908,0.00007695238,0.000308601,0.0000445122],"domain_scores_gemma":[0.9994559,0.0001827764,0.00004457438,0.00005523141,0.0002329986,0.00002847047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004705613,0.000152924,0.007854968,0.0004701944,0.00008382728,0.0005522774,0.0006872381,0.2850249,0.06415217,0.01594389,0.003397322,0.6212097],"study_design_scores_gemma":[0.00004844034,0.0001715675,0.003353373,0.0000722239,0.00004569558,0.0003777704,0.0003933672,0.9476829,0.03093145,0.008636187,0.008212612,0.00007439766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06617944,0.00007749732,0.9269292,0.00005691788,0.00001850129,0.0001315606,0.00007531942,0.0004587785,0.006072772],"genre_scores_gemma":[0.5977797,0.0001242427,0.3992199,0.00001914958,0.0000106442,0.0001059791,0.0001353296,0.00003730669,0.00256781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002529893,"threshold_uncertainty_score":0.008463323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687704381733622,"score_gpt":0.2461073811820433,"score_spread":0.2292303373647071,"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."}}