{"id":"W1536918255","doi":"10.18061/dsq.v28i2.94","title":"Spaced Out in the City: The Wrinkled World of Transit for Those with Limited Mobility","year":2008,"lang":"en","type":"article","venue":"Disability Studies Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transit (satellite); Argument (complex analysis); Subject (documents); Mode (computer interface); Experiential learning; Sociology; Public relations; Computer science; Transport engineering; Political science; Engineering; Public transport; Human–computer interaction; World Wide Web; Medicine; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002464392,0.0002021142,0.0004705134,0.0000286951,0.000781865,0.00002962136,0.0006737409,0.00006194408,0.00002731793],"category_scores_gemma":[0.0002147887,0.0001045317,0.0002244218,0.0005182097,0.00391764,0.0002360762,0.00001040691,0.0002093635,0.000001249457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001149497,"about_ca_system_score_gemma":0.00009929437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002565278,"about_ca_topic_score_gemma":0.3524332,"domain_scores_codex":[0.9976611,0.0004641485,0.0005094817,0.0004444835,0.000505374,0.0004153902],"domain_scores_gemma":[0.997377,0.001492911,0.0001373826,0.0007154811,0.0002271134,0.00005007604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000298867,0.0006188877,0.7213197,0.00005369499,0.00006678043,0.000001285559,0.2754086,0.000001791885,0.00000562711,0.0002215934,0.000140227,0.001862978],"study_design_scores_gemma":[0.0007692362,0.0002901912,0.8276134,0.00002375545,0.00006456252,1.419488e-7,0.1662777,0.000006437055,0.00002036394,0.002488968,0.0022892,0.0001560789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825314,0.0002756694,0.00009963445,0.01318078,0.000176852,0.001972248,0.00003977395,0.00004860802,0.001674998],"genre_scores_gemma":[0.9990938,0.00003240475,0.00009056417,0.000170862,0.000109368,0.000295539,0.000005880193,0.000007995211,0.0001935808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.349868,"threshold_uncertainty_score":0.9987931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050657794755784,"score_gpt":0.3591486578981009,"score_spread":0.2540828784225224,"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."}}