{"id":"W2067447968","doi":"10.3141/2431-12","title":"Defect-Based Condition Assessment of Concrete Bridges","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Concordia University","funders":"","keywords":"Bridge (graph theory); Computer science; Probabilistic logic; Fuzzy logic; Hierarchy; Fuzzy set; Ignorance; Risk analysis (engineering); Subjectivity; Evidential reasoning approach; Set (abstract data type); Artificial intelligence; Decision support system; Business","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":[0.003460772,0.0001953932,0.0004086907,0.0007135261,0.0002503945,0.00005830942,0.0006063596,0.00013291,0.0001283007],"category_scores_gemma":[0.0001093835,0.0001518041,0.0003762931,0.0009235945,0.0004144972,0.0003360767,0.000002724233,0.001580097,0.000004461994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002167658,"about_ca_system_score_gemma":0.0002943451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072073,"about_ca_topic_score_gemma":0.002142478,"domain_scores_codex":[0.9951142,0.0006105165,0.001048674,0.0002099315,0.002399772,0.0006168917],"domain_scores_gemma":[0.9959927,0.0008216408,0.0002634818,0.0003553841,0.002357393,0.0002094411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008650515,0.00009546238,0.6087983,0.001778052,0.0004993664,0.00007666519,0.0017559,0.1825086,0.1566904,0.01293669,0.01895308,0.0150424],"study_design_scores_gemma":[0.001498434,0.0005287189,0.9505575,0.0005232064,0.00004858622,3.588579e-7,0.0004870974,0.00732539,0.024825,0.001051442,0.01297593,0.0001783253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715123,0.00008244017,0.02602639,0.0005998062,0.0007956608,0.0004591133,0.00004946006,0.00003904134,0.0004358157],"genre_scores_gemma":[0.9959829,0.0002172455,0.003432897,0.00003631752,0.0001797515,0.00003468859,0.00002071198,0.00004917439,0.00004632809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3417592,"threshold_uncertainty_score":0.6864823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578320342972535,"score_gpt":0.3587538112340966,"score_spread":0.3229706078043712,"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."}}