{"id":"W6998871940","doi":"","title":"Bumpy Roads Ahead: America's Roughest Rides and Strategies to Make our Roads Smoother","year":2013,"lang":"en","type":"report","venue":"Issue Lab (Candid)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Highway system; State highway; Smoothness; Quarter (Canadian coin); International Roughness Index; Road surface; Urban area","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009884867,0.001977081,0.002720335,0.0009407577,0.0003277973,0.001520197,0.001147922,0.001186118,0.002244073],"category_scores_gemma":[0.0003843591,0.00181566,0.0003699215,0.001215085,0.0003607399,0.0005905834,0.0005835124,0.001302485,0.01871601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092415,"about_ca_system_score_gemma":0.001995381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07391454,"about_ca_topic_score_gemma":0.01089987,"domain_scores_codex":[0.9914142,0.0003641976,0.001503155,0.002251504,0.002533652,0.001933296],"domain_scores_gemma":[0.9942421,0.0001275691,0.001237015,0.002352973,0.001040273,0.001000079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000141125,0.0002390801,0.004714042,0.0005487707,0.0007706933,0.0003999131,0.001803943,0.0002074781,0.001258735,0.0000971607,0.9580225,0.03179656],"study_design_scores_gemma":[0.0008111979,0.0004332995,0.01203467,0.0007787105,0.0004410329,0.0002724037,0.003127403,0.00004345406,0.0003092868,0.0003153645,0.979293,0.002140192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1007121,0.03603684,0.0003038633,0.006201071,0.006368696,0.007236594,0.004696953,0.003549886,0.834894],"genre_scores_gemma":[0.4481964,0.005902246,0.003474264,0.001058061,0.009882262,0.001475014,0.001141465,0.003182392,0.5256879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3474843,"threshold_uncertainty_score":0.9995163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042099066681099,"score_gpt":0.3290860818322569,"score_spread":0.2986650911654459,"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."}}