{"id":"W2789433560","doi":"10.1155/2018/2097932","title":"Traffic Peak Period Detection from an Image Processing View","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Intuition; Image processing; Computer science; Artificial intelligence; Salient; Point (geometry); Computer vision; Image (mathematics); Interval (graph theory); Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003234525,0.0006788695,0.0004113149,0.002533971,0.0002532431,0.001141803,0.0004795968,0.0007598056,0.002599814],"category_scores_gemma":[0.0009877514,0.0002687543,0.0004047872,0.001059072,0.0003910217,0.00135687,0.0004272798,0.0006949711,0.000909299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330031,"about_ca_system_score_gemma":0.0004272639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348636,"about_ca_topic_score_gemma":0.001074775,"domain_scores_codex":[0.9997635,0.00002237152,0.00001233062,0.00005541104,0.00009997127,0.00004641038],"domain_scores_gemma":[0.9996312,0.00007968818,0.00004318113,0.00004446305,0.0001762194,0.0000252582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004973968,0.0001553757,0.004245317,0.0004328194,0.00006279034,0.0007124472,0.0002338618,0.03025807,0.3475796,0.008353118,0.008946537,0.5985227],"study_design_scores_gemma":[0.00004458238,0.0003054451,0.01672684,0.00008134156,0.0001107867,0.001721177,0.0004201799,0.6802724,0.2707633,0.01093924,0.01850848,0.0001062256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06052741,0.0004849853,0.9281641,0.0002666219,0.0001272049,0.000109713,0.0002712662,0.002381958,0.007666762],"genre_scores_gemma":[0.5135066,0.001361292,0.4791471,0.0002116969,0.0001723156,0.0001139683,0.000722111,0.0002783035,0.00448663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002599814,"threshold_uncertainty_score":0.008697212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489345704766009,"score_gpt":0.3161045497336664,"score_spread":0.3012110926860063,"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."}}