{"id":"W7095633522","doi":"","title":"RECOGNITION","year":2001,"lang":"en","type":"article","venue":"","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Induction loop; Detector; Waveform; Point (geometry); Pattern recognition (psychology); Matching (statistics); Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001325996,0.001359847,0.001044372,0.002160073,0.0007571115,0.004419188,0.002784937,0.001887074,0.06556053],"category_scores_gemma":[0.004603424,0.0003337058,0.0008299391,0.002308553,0.0006371518,0.003498563,0.002298967,0.001112987,0.08661193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007420092,"about_ca_system_score_gemma":0.000858757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003081,"about_ca_topic_score_gemma":0.001872134,"domain_scores_codex":[0.998053,0.0002022066,0.0001677565,0.000679545,0.0006873038,0.0002101644],"domain_scores_gemma":[0.997959,0.0002886082,0.0001310729,0.0006633435,0.0008693505,0.00008855948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002242353,0.00007664015,0.001823877,0.0003744799,0.00004199646,0.0002452976,0.0001386643,0.002515181,0.01607187,0.02109506,0.0913361,0.8660566],"study_design_scores_gemma":[0.00004747485,0.0002102197,0.005067933,0.0003120449,0.00007396351,0.00165441,0.0006953502,0.07557827,0.04556574,0.0597511,0.8109394,0.0001040979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01605696,0.007406823,0.7459657,0.003994836,0.005114196,0.0008088655,0.009747001,0.01834878,0.1925569],"genre_scores_gemma":[0.1884858,0.008429844,0.3680139,0.004657778,0.001973942,0.0007973862,0.05713831,0.001674109,0.3688289],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9344395,"threshold_uncertainty_score":0.2193218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343658518903037,"score_gpt":0.1895482082459336,"score_spread":0.1761116230569032,"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."}}