{"id":"W2344356479","doi":"","title":"Quality Function Deployment Based Method for Condition Assessment of Concrete Bridges","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality function deployment; Visual inspection; Bridge (graph theory); Serviceability (structure); Engineering; Quality assurance; Nondestructive testing; Bridge maintenance; Construction engineering; Computer science; Reliability engineering; Civil engineering; Operations management; Artificial intelligence; Structural engineering; External quality assessment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002478131,0.001139068,0.0006313921,0.004617245,0.0004339693,0.001139954,0.000835986,0.0008441504,0.003580843],"category_scores_gemma":[0.006613018,0.0002886331,0.000789255,0.00329676,0.0004383787,0.0011446,0.0009491959,0.0006884175,0.001085445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039811,"about_ca_system_score_gemma":0.0007441598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005352192,"about_ca_topic_score_gemma":0.004238378,"domain_scores_codex":[0.9972397,0.0006068512,0.0001620833,0.0004705164,0.001406592,0.0001143363],"domain_scores_gemma":[0.9971831,0.0008700819,0.0003364941,0.0003032254,0.001245821,0.00006123414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003567117,0.0003018206,0.02571576,0.0008263069,0.0001163664,0.0002079249,0.001043263,0.06624503,0.05627456,0.008805446,0.005265399,0.8348414],"study_design_scores_gemma":[0.00007652154,0.0009375642,0.0647805,0.0002662909,0.0001431084,0.0007345693,0.0008009876,0.846594,0.05332268,0.008539673,0.02360296,0.00020114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03115522,0.000401155,0.9602761,0.00007753225,0.00006496449,0.0003451418,0.000635241,0.001305748,0.005739007],"genre_scores_gemma":[0.4490513,0.0004922583,0.5444692,0.00007372008,0.00002654727,0.0007720601,0.001299794,0.0001438974,0.003671282],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005352192,"threshold_uncertainty_score":0.01310581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2005256787913327,"score_gpt":0.5341348019206298,"score_spread":0.3336091231292971,"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."}}