{"id":"W631764179","doi":"","title":"Dynamic Real-Time Ridesharing: A Literature Review and Early Findings from a Market Demand Study of a Dynamic Transportation Trading Platform for the University of Calgary's Main Campus","year":2014,"lang":"en","type":"review","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seekers; Order (exchange); Travel behavior; Marketing; Dynamic pricing; Business; Advertising; Public relations; Transport engineering; Engineering; Political science; Finance","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":[0.005833412,0.0008984705,0.00277347,0.001689861,0.0007857762,0.0001144781,0.001127259,0.0007524022,0.0002145186],"category_scores_gemma":[0.0002054942,0.0008352926,0.0007372472,0.003679876,0.0007726054,0.0006601317,0.00001047946,0.002231087,0.000007237051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000322179,"about_ca_system_score_gemma":0.000475844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341575,"about_ca_topic_score_gemma":0.02762706,"domain_scores_codex":[0.9915497,0.0007633811,0.002879353,0.001339404,0.002288305,0.00117991],"domain_scores_gemma":[0.9916951,0.003946376,0.0006370901,0.0009847754,0.002332143,0.0004045343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.003484754,0.002819667,0.007010324,0.5404606,0.009828037,0.0005135747,0.1469291,0.001604271,0.001248292,0.002850367,0.01079163,0.2724594],"study_design_scores_gemma":[0.01412886,0.004850264,0.5183344,0.1590729,0.01656051,0.000007313049,0.02577871,0.01364539,0.00005083797,0.001308709,0.2412465,0.005015631],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2209143,0.7456093,0.003098183,0.0001636586,0.0002043944,0.01800373,0.0114585,0.0004045611,0.0001433514],"genre_scores_gemma":[0.06740054,0.9257678,0.001561537,0.000007919652,0.00002991627,0.0007331067,0.003853634,0.000225147,0.0004203807],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.511324,"threshold_uncertainty_score":0.9994098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895825294685138,"score_gpt":0.3319198860746831,"score_spread":0.3029616331278317,"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."}}