{"id":"W2468981866","doi":"10.1061/(asce)te.1943-5436.0000892","title":"Continuous Vertical Track Deflection Measurements to Map Subgrade Condition along a Railway Line: Methodology and Case Studies","year":2016,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Subgrade; Deflection (physics); Vertical deflection; Track (disk drive); Geology; Track geometry; Geotechnical engineering; Wavelength; Structural engineering; Geodesy; Engineering; Optics; Mechanical engineering; Physics","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":[0.001121169,0.0005273394,0.0003270373,0.001940079,0.0004778299,0.0008985872,0.0006748761,0.0008631579,0.001019852],"category_scores_gemma":[0.002212342,0.0002376305,0.0003818021,0.002002017,0.0004869004,0.0004145644,0.000669126,0.0003292446,0.0002654587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004921458,"about_ca_system_score_gemma":0.0006678976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00762472,"about_ca_topic_score_gemma":0.0130884,"domain_scores_codex":[0.9988359,0.0003620226,0.00008565014,0.0002763835,0.0003530757,0.00008704674],"domain_scores_gemma":[0.9989079,0.000406508,0.0001793605,0.0001378578,0.0003279474,0.00004038323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003965496,0.001395658,0.312578,0.001018549,0.0001485544,0.003582457,0.008499639,0.07706008,0.1309799,0.004691372,0.001087746,0.4585614],"study_design_scores_gemma":[0.0001193857,0.00265815,0.4432235,0.0003519179,0.0002207025,0.003296771,0.01466158,0.3682305,0.1463875,0.003476446,0.0171191,0.0002544278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.711846,0.0001546073,0.2820387,0.00006607267,0.00001633174,0.0009219866,0.0007206872,0.0002076456,0.004028052],"genre_scores_gemma":[0.7869596,0.0001931337,0.2109891,0.00001605297,0.000008980972,0.0004930769,0.0002879409,0.00002352821,0.001028489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00762472,"threshold_uncertainty_score":0.01516068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04550157768990416,"score_gpt":0.2932200200744446,"score_spread":0.2477184423845405,"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."}}