{"id":"W805642344","doi":"","title":"ROADINFO: ADVANCED TRAVELLER INFORMATION FOR THE GREATER TORONTO AREA","year":2003,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information system; Business; Transport engineering; Public transport; Engineering management; Engineering; Computer science","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":[0.0003503726,0.0005389713,0.0002171569,0.002142491,0.001525004,0.002367332,0.0006438028,0.0005178551,0.1219364],"category_scores_gemma":[0.001247318,0.000277239,0.0001560307,0.002855156,0.0003816758,0.001453072,0.001293247,0.000496342,0.02992521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004796496,"about_ca_system_score_gemma":0.006467674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5335016,"about_ca_topic_score_gemma":0.6861515,"domain_scores_codex":[0.9996967,0.00002244371,0.00001544749,0.00003135137,0.0001782249,0.00005574676],"domain_scores_gemma":[0.998871,0.0001058857,0.00008375027,0.0001124555,0.0004423997,0.0003844787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000159794,0.00003588992,0.007324026,0.0004717402,0.0000124715,0.0004132033,0.001823596,0.0009535633,0.002206772,0.006896634,0.7084491,0.2712532],"study_design_scores_gemma":[0.00001277317,0.0000182165,0.006855438,0.00005437666,0.00000884472,0.0001014172,0.0006669996,0.0007718476,0.0004954499,0.0003373329,0.9906567,0.00002059185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.053783,0.005165664,0.01981725,0.005462945,0.0006392408,0.0005712364,0.07053977,0.03879065,0.8052304],"genre_scores_gemma":[0.1949157,0.006965405,0.01544641,0.0008456908,0.0004438631,0.0001851737,0.06613597,0.003253251,0.7118084],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4664984,"threshold_uncertainty_score":0.9384915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008871696258986397,"score_gpt":0.2116118784516565,"score_spread":0.2027401821926701,"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."}}