{"id":"W4255972514","doi":"10.1155/2016/8352895","title":"Smart Sensing Technologies and Their Applications in Civil Infrastructures 2016","year":2016,"lang":"en","type":"article","venue":"Journal of Sensors","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Engineering; Computer science; Construction engineering; Systems engineering","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":[0.0005724885,0.000474704,0.000249829,0.001019838,0.0004158655,0.002147633,0.0003549163,0.001293208,0.006012534],"category_scores_gemma":[0.0006623678,0.0003205057,0.0003289883,0.001532605,0.001018354,0.002104284,0.0007381408,0.0008734076,0.001789056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837311,"about_ca_system_score_gemma":0.0005763758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008857108,"about_ca_topic_score_gemma":0.002388057,"domain_scores_codex":[0.9996972,0.00004842441,0.00003026926,0.00004389056,0.0001509698,0.000029245],"domain_scores_gemma":[0.9996828,0.0000979488,0.00003299613,0.00002911524,0.0001314757,0.00002576256],"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":[0.00007570572,0.00008110102,0.002966542,0.0007438449,0.00003128196,0.0003201767,0.0004501592,0.007179003,0.01608355,0.2100742,0.03332067,0.7286738],"study_design_scores_gemma":[0.000005812872,0.0001675062,0.006322837,0.0007107478,0.00004905773,0.001007659,0.001137499,0.0220002,0.02292318,0.1089538,0.8366407,0.00008106771],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.05607175,0.4175414,0.1150225,0.02268962,0.006913307,0.0001285014,0.0003735292,0.000547429,0.3807119],"genre_scores_gemma":[0.4866087,0.2891491,0.04331234,0.001249462,0.00253537,0.00005106691,0.0003264344,0.00009366664,0.176674],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006012534,"threshold_uncertainty_score":0.02011389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005892086757419193,"score_gpt":0.2046625952402204,"score_spread":0.1987705084828012,"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."}}