{"id":"W1997763756","doi":"10.1002/atr.5670350308","title":"Impact of ITS measures on public transport: A Case study","year":2001,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Taxis; Transport engineering; Transit (satellite); Modal; Computer science; Telecommunications; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002187604,0.0001696692,0.000305764,0.0003979963,0.00004297613,0.000007681747,0.00009417693,0.00005651178,0.00007050097],"category_scores_gemma":[0.00001485737,0.0001497868,0.0002316408,0.0006401119,0.00001955442,0.0005609665,1.681458e-7,0.0002338752,0.000001417536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006944573,"about_ca_system_score_gemma":0.00007519218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001737597,"about_ca_topic_score_gemma":0.0007659874,"domain_scores_codex":[0.9983866,0.00001835656,0.0009597065,0.0001031502,0.000367598,0.0001645485],"domain_scores_gemma":[0.9988972,0.00003864169,0.0002491716,0.0001389634,0.0005671348,0.000108908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002862545,0.0010156,0.1127702,0.00005891383,0.000397285,0.00171191,0.007977094,0.8493996,0.009847512,0.0002134476,0.00001550541,0.01630671],"study_design_scores_gemma":[0.002537024,0.001208102,0.9910688,0.00005481983,0.0001367012,0.0002933349,0.003365471,0.000100845,0.0006814573,0.00004214498,0.0003323025,0.0001789532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937409,0.0001160513,0.005380051,0.00003290229,0.000229573,0.0003017996,0.00004688191,0.00005653895,0.00009535914],"genre_scores_gemma":[0.9993377,0.0001545652,0.0003917003,0.00000804934,0.0000408581,0.000009500826,0.00002317148,0.00002634242,0.000008098319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8782987,"threshold_uncertainty_score":0.6108128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03097404147361366,"score_gpt":0.3014273676367655,"score_spread":0.2704533261631518,"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."}}