{"id":"W4316464434","doi":"10.3390/su15021653","title":"Heterogeneity Aware Emission Macroscopic Fundamental Diagram (e-MFD)","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Traffic control and management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Diagram; Standard deviation; Greenhouse gas; Stability (learning theory); Grid; Modal; Scale (ratio); Computer science; Function (biology); Mathematical optimization; Control theory (sociology); Control (management); Mathematics; Statistics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002208629,0.0001566114,0.0001586849,0.00006871315,0.0001043673,0.00004333474,0.000142853,0.00006029036,0.00005645213],"category_scores_gemma":[0.00006493308,0.0001496153,0.00009215173,0.0002921025,0.0000434054,0.00008333933,0.0001236114,0.0001162955,0.00005826338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005595306,"about_ca_system_score_gemma":0.00003754916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004111901,"about_ca_topic_score_gemma":0.00005637148,"domain_scores_codex":[0.9989227,0.00003130367,0.0001853553,0.0002538777,0.0001603181,0.0004464182],"domain_scores_gemma":[0.9994146,0.00003113143,0.0000134004,0.0003618576,0.00006227794,0.0001167514],"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":[0.00009482268,0.0003667427,0.1893671,0.004392339,0.0002486904,0.00026679,0.002160651,0.117999,0.00146833,0.001232579,0.03972245,0.6426805],"study_design_scores_gemma":[0.001244868,0.0001094636,0.8660889,0.0000238795,0.00003768937,0.000002121022,0.001900484,0.05456078,0.001212724,0.003680327,0.07056503,0.0005737382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995569,0.00009964978,0.0007997284,0.0004588812,0.0004396045,0.0005031917,0.00001447464,0.001733955,0.000381519],"genre_scores_gemma":[0.9990538,0.00002219331,0.00001281901,0.0000255337,0.00005909155,0.00009902704,0.0000282422,0.00002118499,0.0006780635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6767218,"threshold_uncertainty_score":0.6101136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007524628903095864,"score_gpt":0.2533895237501719,"score_spread":0.245864894847076,"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."}}