{"id":"W4232918740","doi":"10.32920/14638491.v1","title":"Road Surface Monitoring Using Smartphone Sensors: A Review","year":2021,"lang":"en","type":"review","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":6,"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); Computer science; Smartphone application; Plan (archaeology); Real-time computing; Computer security; Transport engineering; Remote sensing; Engineering; Artificial intelligence; Geography; Multimedia; Civil engineering","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":[0.0009642338,0.001267281,0.001302378,0.003458291,0.0003415756,0.001217111,0.001327394,0.001406906,0.005122981],"category_scores_gemma":[0.002123906,0.0004736721,0.001312668,0.002867793,0.0003299243,0.002008916,0.0006918039,0.0008826059,0.00230321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004455608,"about_ca_system_score_gemma":0.00130859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002534997,"about_ca_topic_score_gemma":0.003066979,"domain_scores_codex":[0.9994543,0.00008136423,0.00008236871,0.0001210108,0.0002227218,0.00003824989],"domain_scores_gemma":[0.998521,0.0007480477,0.0001441922,0.00003794525,0.0005051026,0.00004373853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007858371,0.0001013975,0.0007747203,0.05577323,0.0001656228,0.000217526,0.0001242257,0.0006772737,0.00314244,0.00256564,0.02653456,0.9098449],"study_design_scores_gemma":[0.00001146432,0.000262574,0.003040833,0.0122608,0.0004791974,0.001356339,0.0002020414,0.0005616779,0.001857892,0.001301231,0.9785959,0.00007013438],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004080533,0.9965553,0.0005152299,0.0002687478,0.000289651,0.00002330646,0.00008572493,0.00002169931,0.001832279],"genre_scores_gemma":[0.002307358,0.9955989,0.0007233205,0.000145828,0.000214755,0.00002204971,0.0001051286,0.000004284829,0.0008782924],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005122981,"threshold_uncertainty_score":0.01713812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04945535995273322,"score_gpt":0.3250608205284554,"score_spread":0.2756054605757222,"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."}}