{"id":"W2129165611","doi":"10.1177/0042098011411948","title":"Network Accessibility and Employment Centres","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Metropolitan area; Polycentricity; Documentation; Economic geography; Urban spatial structure; Business; Transport engineering; Regional science; Spatial mismatch; Urban structure; Geography; Economic growth; Urban planning; Economics; Civil engineering; Engineering; Finance; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005687251,0.0001171873,0.0002155396,0.00001855281,0.0006768523,0.00003369342,0.0001752055,0.00004793581,0.0002009548],"category_scores_gemma":[0.00008602993,0.00009372494,0.00004431657,0.0001638009,0.0007191138,0.0002420313,0.0000812122,0.0000750612,0.000009899694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004609369,"about_ca_system_score_gemma":0.00003547731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176193,"about_ca_topic_score_gemma":0.004661737,"domain_scores_codex":[0.9988057,0.00009439873,0.0002332604,0.000306487,0.0001979261,0.0003622133],"domain_scores_gemma":[0.9994806,0.00008095139,0.00007565171,0.0001771356,0.00008645477,0.0000992213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002204244,0.00004891237,0.9518487,0.00001276772,0.00004496479,0.000003135102,0.03630368,5.638462e-8,8.092862e-7,0.002312058,0.006909859,0.002492967],"study_design_scores_gemma":[0.0001378885,0.00002804031,0.9580775,0.00001985068,0.00003881767,3.824505e-8,0.006094238,4.134599e-7,0.00002104084,0.02285177,0.01259037,0.0001400362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398766,0.01483224,0.00001919383,0.0002847034,0.0004550122,0.0002484921,0.000004039795,0.0001387153,0.04414098],"genre_scores_gemma":[0.9969302,0.0004401637,0.0003273867,0.000167899,0.0003321733,0.00001596533,9.213484e-7,0.000005898229,0.001779413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05705355,"threshold_uncertainty_score":0.5205869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020702413463482,"score_gpt":0.3370407775732155,"score_spread":0.2349705362268674,"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."}}