{"id":"W6990888828","doi":"","title":"Enabling Car-Free Living: Shared Micromobility and Public Transit Interactions in Chicago","year":2025,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public transport; Panacea (medicine); Transit (satellite); Agency (philosophy); Last mile (transportation); Work (physics); Quarter (Canadian coin); Urban transit","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":[0.0006880815,0.0004761484,0.0009210177,0.001873251,0.0005593973,0.0001473178,0.001511952,0.001224569,0.0001678832],"category_scores_gemma":[0.001861108,0.0005284289,0.0002452309,0.002285994,0.000918786,0.0009769837,0.0001224376,0.00152023,0.000003001687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003242,"about_ca_system_score_gemma":0.001188238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004954278,"about_ca_topic_score_gemma":0.3952277,"domain_scores_codex":[0.9967942,0.0001046542,0.00090681,0.001048584,0.0004420109,0.0007037707],"domain_scores_gemma":[0.9978243,0.0001318247,0.0004732216,0.001072583,0.0003541955,0.0001439091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002142598,0.001899404,0.8661993,0.00250213,0.0007215402,0.00009133022,0.02430051,0.000009954281,0.005859031,0.01359421,0.002005711,0.08260268],"study_design_scores_gemma":[0.002671122,0.0001520778,0.338095,0.005751492,0.0007984912,0.000003846885,0.03566795,0.00004576009,0.004646479,0.01440153,0.5951883,0.002577918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9717091,0.002899759,0.00005157551,0.006635542,0.001552001,0.001061126,0.0003234906,0.0004413193,0.01532607],"genre_scores_gemma":[0.994186,0.0006091382,0.001409254,0.00003265755,0.00007491203,0.0001459692,0.0003038016,0.00002892662,0.003209327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5931826,"threshold_uncertainty_score":0.9997167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396038138971545,"score_gpt":0.2993046756093186,"score_spread":0.2753442942196032,"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."}}