{"id":"W1931965420","doi":"10.1108/ci-08-2019-0076","title":"Ground penetrating radar-based deterioration assessment of RC bridge decks","year":2019,"lang":"en","type":"article","venue":"Construction Innovation","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Durham","funders":"","keywords":"Ground-penetrating radar; Weibull distribution; Bridge (graph theory); Structural engineering; Radar; Monte Carlo method; Engineering; Computer science; Environmental science; Statistics; Mathematics; Telecommunications","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":[0.0008853847,0.0005289816,0.0003236657,0.001267789,0.0001395659,0.0004983836,0.0003882846,0.0003970299,0.0006701812],"category_scores_gemma":[0.001532289,0.0001607609,0.00026626,0.0004858975,0.0002913995,0.000562745,0.0004537271,0.0002075371,0.0003285063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846737,"about_ca_system_score_gemma":0.0001581336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00112792,"about_ca_topic_score_gemma":0.00180212,"domain_scores_codex":[0.9996004,0.00007505217,0.00002942288,0.00007005112,0.000197617,0.00002761494],"domain_scores_gemma":[0.9993865,0.00009118445,0.0001490355,0.00006249111,0.0002798188,0.00003087969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001130004,0.0003203756,0.3018411,0.0006418762,0.0001584716,0.0008662668,0.0006701544,0.2115985,0.2649856,0.001031297,0.001105064,0.2156514],"study_design_scores_gemma":[0.00002084968,0.001252565,0.3401939,0.00008830539,0.0001303866,0.0007509423,0.000915566,0.585274,0.06936187,0.0007727593,0.001158258,0.00008068587],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670046,0.0001691516,0.03102292,0.00002543489,0.00001315305,0.00004591832,0.0001427017,0.0001540766,0.001422021],"genre_scores_gemma":[0.9922206,0.00008796354,0.007082148,0.00001156405,0.000003195714,0.00001057319,0.0001265562,0.000006542568,0.0004509495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001267789,"threshold_uncertainty_score":0.004682422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035676624880996,"score_gpt":0.2921810671290023,"score_spread":0.2718243008801924,"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."}}