{"id":"W3047167282","doi":"10.18280/ria.340303","title":"Traffic Flow Prediction Using SPGAPSO-CKRVM Model","year":2020,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004027403,0.0005715237,0.0008130562,0.0005673306,0.0003833345,0.0007271122,0.001351123,0.0006578414,0.001071526],"category_scores_gemma":[0.001043139,0.0002876634,0.0006991436,0.000539013,0.0003689814,0.0007781576,0.0004715206,0.0006897952,0.0002313818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007938051,"about_ca_system_score_gemma":0.001147289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03032991,"about_ca_topic_score_gemma":0.01447819,"domain_scores_codex":[0.9997382,0.00004373396,0.00001256008,0.00008839432,0.00006757177,0.00004963554],"domain_scores_gemma":[0.9996871,0.0000869244,0.00004478485,0.00002984831,0.0001293861,0.00002200134],"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":[0.00001859617,0.00002041095,0.001015929,0.00001150049,0.00001388091,0.00002204724,0.000009174702,0.9898565,0.0003313673,0.0009589333,0.0003975777,0.007344208],"study_design_scores_gemma":[0.000001105819,0.000002590415,0.00006926585,3.875004e-7,0.000001315244,0.000001905301,0.000001038004,0.9996759,0.00004155564,0.000164854,0.00003927687,7.705698e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2571393,0.0004402841,0.7287033,0.0005193916,0.0001303324,0.00008286895,0.0004204193,0.001837606,0.01072655],"genre_scores_gemma":[0.9711404,0.0001002048,0.02632415,0.00004296793,0.00002373028,0.00005860019,0.0002687748,0.00004200855,0.001999156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03032991,"threshold_uncertainty_score":0.06030673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06185107039034799,"score_gpt":0.2553670858138298,"score_spread":0.1935160154234818,"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."}}