{"id":"W2593613141","doi":"","title":"Investigating Predictability of Pavement Friction on Rural Roads in Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Board 96th Annual MeetingTransportation Research Board","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Predictability; Geography; Environmental science; Statistics; Mathematics","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":[0.0003484305,0.0002892709,0.0003856992,0.0008321,0.00209489,0.00149978,0.0008367223,0.0003908683,0.001573659],"category_scores_gemma":[0.00248165,0.0003299523,0.0003293191,0.001898959,0.0006807541,0.0004845915,0.0006571931,0.0004288437,0.000231895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01842544,"about_ca_system_score_gemma":0.01874112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957273,"about_ca_topic_score_gemma":0.9983714,"domain_scores_codex":[0.9995053,0.00003600707,0.00002184312,0.0001043701,0.0001578422,0.0001746151],"domain_scores_gemma":[0.9985403,0.0002520707,0.0002005957,0.00005437476,0.0007462245,0.0002064429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001623124,0.00006780856,0.9784887,0.00004457511,0.00006641539,0.0002068572,0.00144732,0.008319655,0.0009540155,0.0005881808,0.001970179,0.007683941],"study_design_scores_gemma":[0.00000499508,0.00001173715,0.991865,0.00001061897,0.00000985169,0.00001292372,0.001162759,0.005770602,0.00008693727,0.00005210978,0.001004265,0.00000821926],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967135,0.00009344486,0.0001614958,0.0001115762,0.000003797825,0.00001417974,0.00127034,0.00001140918,0.001620215],"genre_scores_gemma":[0.9977481,0.00008653898,0.0001146444,0.00001033413,0.000001966439,0.00000581272,0.0007837965,0.000004768616,0.00124395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01842544,"threshold_uncertainty_score":0.1336865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140577827694325,"score_gpt":0.3453288228318234,"score_spread":0.2839230445548801,"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."}}