{"id":"W648589108","doi":"10.1002/atr.151","title":"An intersection turning movement estimation procedure based on path flow estimator","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Estimator; Path (computing); Computer science; Computation; Traffic flow (computer networking); Estimation; Simulation; Engineering; Algorithm; Transport engineering; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008448662,0.0006348445,0.0006154411,0.00168578,0.0003395026,0.0005245504,0.000672101,0.0005140599,0.001302581],"category_scores_gemma":[0.003401371,0.000297445,0.0003288616,0.0007936512,0.0003124368,0.0005240936,0.0005705829,0.0007071196,0.0004369652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002581117,"about_ca_system_score_gemma":0.0008587893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003305935,"about_ca_topic_score_gemma":0.002726035,"domain_scores_codex":[0.9994764,0.0001688801,0.00002729436,0.0001166069,0.0001695065,0.00004132196],"domain_scores_gemma":[0.9988937,0.0005038601,0.0001360633,0.0001362157,0.0003039542,0.00002618129],"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":[0.0001656113,0.0001563236,0.008304605,0.0001233173,0.00008904631,0.0001915489,0.0001877494,0.2919002,0.04065108,0.009999044,0.002106809,0.6461247],"study_design_scores_gemma":[0.00001759064,0.00005298406,0.002536346,0.000009324526,0.00001370354,0.0001041119,0.00002098451,0.982428,0.01195128,0.001661866,0.001180798,0.00002299362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01151046,0.00001469005,0.9875366,0.00001161471,0.000006387593,0.00003290302,0.00002589009,0.0005742554,0.0002872088],"genre_scores_gemma":[0.289955,0.00004636097,0.7086445,0.00001559544,0.00001766218,0.0001366103,0.000285427,0.00007961153,0.0008191182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003305935,"threshold_uncertainty_score":0.006573379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002959421171651098,"score_gpt":0.2187760292683645,"score_spread":0.2158166080967134,"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."}}