{"id":"W633744967","doi":"","title":"When, Where and How Taxis Are Used in Montreal","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxis; Global Positioning System; Public transport; Descriptive statistics; Geography; Transport engineering; Business; Computer science; Statistics; Telecommunications; Mathematics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00505571,0.0005358749,0.000706896,0.00208652,0.0005572363,0.0002966321,0.0005607975,0.0004820625,0.0002636974],"category_scores_gemma":[0.0003093903,0.000591166,0.0001649275,0.002668519,0.000806477,0.001146712,0.000008962194,0.002215808,0.00007646875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000211814,"about_ca_system_score_gemma":0.0001460939,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00687472,"about_ca_topic_score_gemma":0.2885041,"domain_scores_codex":[0.9923907,0.00077929,0.001112894,0.001108087,0.002881592,0.001727435],"domain_scores_gemma":[0.9952636,0.001149492,0.0001329352,0.0006783342,0.002124547,0.0006510539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005911286,0.0005753092,0.8745392,0.002441312,0.0002179536,0.000228388,0.03722595,0.01391457,0.009106623,0.01785127,0.02496604,0.01834224],"study_design_scores_gemma":[0.002327265,0.0002626126,0.9434414,0.0003721295,0.00002475674,5.560786e-7,0.01237123,0.002760986,0.0009905579,0.002493088,0.03433504,0.0006203937],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868898,0.0003317078,0.002884305,0.005443525,0.0001983909,0.001656707,0.0005001133,0.0005801881,0.001515304],"genre_scores_gemma":[0.99503,0.0006751817,0.001696558,0.00006633638,0.0001567729,0.0007232834,0.0004464876,0.0001409101,0.001064424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2816294,"threshold_uncertainty_score":0.9997386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964250107746879,"score_gpt":0.3194872898995598,"score_spread":0.279844788822091,"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."}}