{"id":"W1985542596","doi":"10.1139/l09-158","title":"Data mining-based adaptive regression for developing equilibrium speed–density relationships","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Flexibility (engineering); Computer science; Data mining; Relation (database); Generality; Regression; Mathematical optimization; Algorithm; Software; Regression analysis; Basis (linear algebra); Mathematics; Machine learning; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004903186,0.0001524164,0.0002033645,0.0003277696,0.00007024995,0.00005458825,0.0003771203,0.00008615724,0.00002099671],"category_scores_gemma":[0.000306856,0.0001535835,0.00006019439,0.0001436769,0.00001638401,0.0002577001,0.00001820738,0.0003895069,0.000002077206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077305,"about_ca_system_score_gemma":0.0003420102,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004641609,"about_ca_topic_score_gemma":0.1007822,"domain_scores_codex":[0.9991324,0.000008100706,0.0003077812,0.0001199257,0.0001136854,0.0003180903],"domain_scores_gemma":[0.99906,0.0001484634,0.00006857831,0.0002926168,0.0001058937,0.0003244521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001878625,0.000004994458,0.0004898999,0.0001599909,0.0001443717,0.00009753079,0.0002739746,0.971819,0.004582593,0.00119535,0.01685364,0.004359853],"study_design_scores_gemma":[0.0007477457,0.00003528172,0.008102341,0.0002927354,0.00006735548,0.00004129767,0.00007014014,0.9119154,0.0003396652,0.00004819967,0.07801846,0.0003214128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3410849,0.001201117,0.6455231,0.00132621,0.007998056,0.0005435821,0.0001784467,0.0002681557,0.001876403],"genre_scores_gemma":[0.9841693,0.000002156084,0.01536256,0.00002198935,0.0003564437,0.000001913372,0.00001768748,0.00003796268,0.00002995301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6430844,"threshold_uncertainty_score":0.9156262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977560295872981,"score_gpt":0.2186959161149998,"score_spread":0.17892031315627,"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."}}