{"id":"W629681045","doi":"","title":"Lessons Learned by Canadian Practitioners in Interpreting and Applying Pavement ME Design Results","year":2014,"lang":"en","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interim; Process (computing); Software; Transport engineering; Computer science; Christian ministry; Engineering management; Engineering; Business; Operations research; Geography; Political science","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":[0.1102899,0.001664069,0.001788307,0.01198913,0.02019209,0.02349175,0.008961393,0.004433144,0.01200097],"category_scores_gemma":[0.1764479,0.001775454,0.002019403,0.0133248,0.01437392,0.009371428,0.009652674,0.009465815,0.002272657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1257603,"about_ca_system_score_gemma":0.2706946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9500291,"about_ca_topic_score_gemma":0.9742767,"domain_scores_codex":[0.9199086,0.03365808,0.006135982,0.004309087,0.03062891,0.005359306],"domain_scores_gemma":[0.7803016,0.05827888,0.00290078,0.007507457,0.1437614,0.007249817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001403828,0.0002025669,0.01958357,0.003611668,0.0002042891,0.002416635,0.1974398,0.008368028,0.003088943,0.09197415,0.2388239,0.4341461],"study_design_scores_gemma":[0.00004436702,0.0000608566,0.00982743,0.005873254,0.0001158253,0.0005282557,0.1021735,0.004672017,0.001776762,0.03695184,0.8376135,0.0003623575],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06461035,0.0346324,0.2213252,0.3506911,0.005866529,0.001419863,0.002998805,0.003441741,0.315014],"genre_scores_gemma":[0.4188187,0.02809204,0.475382,0.02639121,0.0005476825,0.000774903,0.001535488,0.004213555,0.04424451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1257603,"threshold_uncertainty_score":0.9124591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037142865892959,"score_gpt":0.2185612689960203,"score_spread":0.2081898403370907,"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."}}