{"id":"W4248871244","doi":"10.32920/ryerson.14638332","title":"The \"ugly\" TTC subway map (and how it ruins your mood and movement in the city) : a case study and redesign","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Futures studies; Urbanization; Population; Flexibility (engineering); Engineering; Political science; Sociology; Economic growth; Computer science; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.0004932185,0.0001831496,0.0001605765,0.000062249,0.0001196509,0.000449299,0.0000742292,0.00009325096,0.00001955341],"category_scores_gemma":[0.00003859678,0.0001191362,0.00002303217,0.00008891249,0.000027702,0.00005411596,0.0001623363,0.0003646989,4.44313e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002935239,"about_ca_system_score_gemma":0.00001563468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006424036,"about_ca_topic_score_gemma":0.008424146,"domain_scores_codex":[0.999176,0.0001253755,0.0001606276,0.0002442711,0.0001599642,0.0001338132],"domain_scores_gemma":[0.9994982,0.0001539607,0.00003290312,0.0002289378,0.00004088783,0.00004505111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000478767,0.002907916,0.1418369,0.004671807,0.003961935,0.01537541,0.4095916,0.00694649,0.008220935,0.00412071,0.01057252,0.391315],"study_design_scores_gemma":[0.01011218,0.00102153,0.1074104,0.001029454,0.0008395643,0.001101324,0.721982,0.1390272,0.004679931,0.005527125,0.004284707,0.002984632],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934136,0.0007171577,0.001746507,0.001734132,0.0001575627,0.001022172,0.0000087056,0.00005142079,0.001148689],"genre_scores_gemma":[0.9987832,0.0005494064,0.0001062989,0.0001289858,0.00004956593,0.0001456679,0.0000117676,0.00001555269,0.0002095433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3883304,"threshold_uncertainty_score":0.4858233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04606491445197699,"score_gpt":0.2650593130933749,"score_spread":0.2189943986413979,"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."}}