{"id":"W2767356419","doi":"10.3167/trans.2017.070109","title":"Theorizing Mobility Transitions","year":2017,"lang":"en","type":"article","venue":"Transfers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Engineering and Physical Sciences Research Council","keywords":"Mobilities; Scholarship; Field (mathematics); Sociology; Perspective (graphical); Multidisciplinary approach; Discipline; State (computer science); Order (exchange); Epistemology; Social science; Computer science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002876076,0.0004697763,0.0002775251,0.002493023,0.003100683,0.004924396,0.001502187,0.00192504,0.007673579],"category_scores_gemma":[0.006235247,0.0002237374,0.0005915102,0.001993265,0.02181816,0.01058488,0.007302882,0.002719489,0.0005819449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00495608,"about_ca_system_score_gemma":0.00294964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004413932,"about_ca_topic_score_gemma":0.002870671,"domain_scores_codex":[0.9979405,0.001142949,0.00006801364,0.0002950318,0.0002172573,0.0003362968],"domain_scores_gemma":[0.9976268,0.001499934,0.0002490883,0.0002074706,0.000185037,0.0002316934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002841849,0.000007598447,0.0005780492,0.00002259202,0.000002312168,0.00004348257,0.004609738,0.0008846279,0.0000200883,0.9918174,0.0002716044,0.00173968],"study_design_scores_gemma":[0.000005534912,0.000009770563,0.0004683365,0.0001169644,0.000005450052,0.00006181007,0.01181922,0.002386479,0.00006682109,0.9709867,0.01406776,0.000005174592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2117022,0.004085763,0.1671264,0.05156609,0.000360091,0.0002135977,0.0002525343,0.0001663196,0.564527],"genre_scores_gemma":[0.9920909,0.0008701319,0.003116885,0.0003993541,0.00004538667,0.00007426392,0.0000477173,0.0000192577,0.003336104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007673579,"threshold_uncertainty_score":0.03595906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04005792231243271,"score_gpt":0.3407050436525779,"score_spread":0.3006471213401452,"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."}}