{"id":"W2567106578","doi":"","title":"STR-999: INTELLIGENT MONITORING SYSTEM REVEALS NEW INFORMATION ABOUT THE CHAMPLAIN BRIDGE","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Computer science; Forensic engineering; Engineering","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":[0.0004219631,0.0007894578,0.0005881686,0.002829288,0.0003653672,0.0009564647,0.0006835457,0.0007359739,0.01196817],"category_scores_gemma":[0.0007720657,0.0002067189,0.0001903652,0.001012673,0.0001566053,0.0008513891,0.000789064,0.0004117966,0.005932709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000421831,"about_ca_system_score_gemma":0.0004838918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007879949,"about_ca_topic_score_gemma":0.01415657,"domain_scores_codex":[0.9995376,0.00002633288,0.00002851394,0.0001402269,0.0002174766,0.00004992582],"domain_scores_gemma":[0.9996158,0.0000339166,0.00004482725,0.00004996589,0.0001990399,0.0000564358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002850127,0.0007980377,0.0835015,0.0004629245,0.0001854241,0.001939034,0.001132526,0.01019413,0.1566657,0.002529525,0.2458288,0.4939122],"study_design_scores_gemma":[0.0002473288,0.0009552619,0.2090459,0.0002005656,0.0001809522,0.001493299,0.0007767684,0.483476,0.1466609,0.002561593,0.1541176,0.0002839054],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916666,0.0006925534,0.1147984,0.0008938317,0.0003575514,0.0005643991,0.06018648,0.1536685,0.07717173],"genre_scores_gemma":[0.8522745,0.0002837998,0.05557022,0.000451322,0.0001169965,0.0003166671,0.04802462,0.001165406,0.04179644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196817,"threshold_uncertainty_score":0.04003751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06440425078136475,"score_gpt":0.269830769774815,"score_spread":0.2054265189934502,"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."}}