{"id":"W1989649211","doi":"10.1061/9780784412442.356","title":"Frequency Analysis of Bridge Condition Explanatory Data Items for Customized Data Collection and Bridge Management","year":2012,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Bridge (graph theory); Computer science; Data collection; Data science; Data mining; Information retrieval; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.02246573,0.0007068932,0.0007062918,0.006197452,0.0009634243,0.00129837,0.0008150238,0.0005895402,0.005468367],"category_scores_gemma":[0.1287332,0.0003115126,0.001209064,0.008466841,0.0007858108,0.00151615,0.001513589,0.001206884,0.0008286498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016974,"about_ca_system_score_gemma":0.001543973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477564,"about_ca_topic_score_gemma":0.004493023,"domain_scores_codex":[0.9735058,0.01435774,0.003582948,0.001654891,0.006269243,0.0006294593],"domain_scores_gemma":[0.809777,0.1396291,0.01511936,0.01630214,0.01844079,0.0007316418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008232716,0.0007592566,0.7269475,0.0009989185,0.0004359813,0.000248111,0.004723708,0.003082731,0.008303979,0.005594415,0.007802579,0.2402795],"study_design_scores_gemma":[0.00007484321,0.0007648637,0.9506963,0.0002518982,0.0001891103,0.0002921511,0.003758335,0.01821409,0.0068372,0.003178748,0.01565273,0.00008975347],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8367423,0.000318022,0.137702,0.0005341686,0.0002132106,0.00394687,0.008360442,0.0006018525,0.01158114],"genre_scores_gemma":[0.86971,0.0001380807,0.1183916,0.0001042712,0.00007162769,0.004960529,0.005296163,0.0001160239,0.001211722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02246573,"threshold_uncertainty_score":0.1188115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04828481712851077,"score_gpt":0.2966882074539335,"score_spread":0.2484033903254227,"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."}}