{"id":"W2900760155","doi":"10.3390/s18113845","title":"Road Surface Monitoring Using Smartphone Sensors: A Review","year":2018,"lang":"en","type":"review","venue":"Sensors","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":197,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Road surface; Anomaly detection; Key (lock); Anomaly (physics); Smartphone application; Computer science; Real-time computing; Plan (archaeology); Remote sensing; Transport engineering; Computer security; Engineering; Artificial intelligence; Geography; Civil engineering; Multimedia","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009318854,0.001173258,0.001155084,0.003376603,0.0003611999,0.001191943,0.001410333,0.00150643,0.004931736],"category_scores_gemma":[0.002205511,0.0004371939,0.00108231,0.002796428,0.0003599867,0.002084333,0.0007161188,0.0009129259,0.0021747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004508211,"about_ca_system_score_gemma":0.00130494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302775,"about_ca_topic_score_gemma":0.002836159,"domain_scores_codex":[0.999469,0.000075307,0.00008224825,0.000118447,0.0002201216,0.00003500057],"domain_scores_gemma":[0.9983727,0.0008075874,0.0001575478,0.00004159368,0.0005715453,0.00004897429],"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":[0.00006456488,0.00009220911,0.000928265,0.04487235,0.0001319012,0.0002614806,0.0001381955,0.0006199362,0.00314096,0.00271148,0.02548207,0.9215567],"study_design_scores_gemma":[0.000008807132,0.0002184609,0.002875225,0.01045652,0.0003335107,0.001712013,0.0002318785,0.0005182539,0.001852397,0.00141685,0.9803124,0.00006363276],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004538613,0.9961112,0.0005930625,0.0003381154,0.0003243123,0.00002171381,0.00008166201,0.00002018208,0.002055959],"genre_scores_gemma":[0.002873981,0.9947053,0.000876558,0.000163179,0.0002562311,0.0000228696,0.0001055146,0.000004450923,0.0009918949],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004931736,"threshold_uncertainty_score":0.01649833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04244868212734403,"score_gpt":0.3120904995979918,"score_spread":0.2696418174706477,"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."}}