{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000253928,0.0003926035,0.0003580505,0.0001541483,0.0002087786,0.0001261797,0.0003819803,0.0002962681,0.0004461888],"category_scores_gemma":[0.00006172471,0.0005041668,0.000232907,0.0006987758,0.000132888,0.0004769939,0.0001119972,0.00054265,0.0008320637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002335377,"about_ca_system_score_gemma":0.00005345816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002585923,"about_ca_topic_score_gemma":0.000009005788,"domain_scores_codex":[0.9976931,0.00005635869,0.0007749856,0.0006049752,0.0002587828,0.000611834],"domain_scores_gemma":[0.9990088,0.00003964585,0.00009630677,0.0004300759,0.00008087121,0.0003443379],"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":[0.00001441438,0.00008742123,0.000006180116,0.0004165258,0.00005310434,0.0000186574,0.002226619,0.8119177,0.002711221,0.002842918,0.02876726,0.150938],"study_design_scores_gemma":[0.00006125902,0.0001161757,0.000002406903,0.0002760529,0.0001196831,0.00002005992,0.0006231783,0.9419726,0.01095041,0.0001745663,0.04530564,0.0003780455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009383837,0.003046293,0.9710555,0.003903769,0.001936752,0.000578231,0.0001201936,0.004236243,0.005739194],"genre_scores_gemma":[0.9496798,0.002032958,0.04496758,0.0004074857,0.0008239542,0.00003072948,0.00003673573,0.0001081053,0.001912642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.940296,"threshold_uncertainty_score":0.9999459,"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."}}