{"id":"W7098996332","doi":"","title":"Incident Detection on an Arterial Roadway","year":2007,"lang":"en","type":"article","venue":"","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Intersection (aeronautics); Boulevard; Incident report","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":[],"consensus_categories":[],"category_scores_codex":[0.004281485,0.0009146399,0.0007186322,0.004803423,0.001326893,0.002571852,0.001244846,0.0008742806,0.003275563],"category_scores_gemma":[0.02129454,0.0002984665,0.0008812777,0.003266341,0.0005547765,0.002039771,0.001905919,0.0009911121,0.001239471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210327,"about_ca_system_score_gemma":0.00247829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01498962,"about_ca_topic_score_gemma":0.01925743,"domain_scores_codex":[0.9925021,0.002094254,0.0006267133,0.00110312,0.003120787,0.000552932],"domain_scores_gemma":[0.9742619,0.01296514,0.002522096,0.002112298,0.007259215,0.0008794333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002152414,0.0007539059,0.2511845,0.001879149,0.0005904076,0.001127546,0.00600505,0.0304497,0.01018368,0.005643653,0.02370377,0.6663262],"study_design_scores_gemma":[0.0003783639,0.001854083,0.3420015,0.0008421153,0.001412803,0.002843161,0.02796945,0.4036052,0.08424286,0.01373445,0.1206157,0.0005002851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.67973,0.0007655682,0.2730279,0.001283041,0.0005222128,0.001609295,0.009455123,0.008469555,0.02513729],"genre_scores_gemma":[0.8247102,0.0005382434,0.1610965,0.0001728791,0.00008515475,0.0002819179,0.007876403,0.0002182135,0.005020472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01498962,"threshold_uncertainty_score":0.02980471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284396049179968,"score_gpt":0.285458614860196,"score_spread":0.2726146543683963,"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."}}