{"id":"W4411322475","doi":"10.1016/j.trd.2025.104877","title":"Bridging access with life satisfaction and Nussbaum’s core capabilities","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Lord Mayor’s Charitable Foundation","keywords":"Bridging (networking); Core (optical fiber); Life satisfaction; Psychology; Engineering; Computer science; Social psychology; Computer security; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009689454,0.0001888497,0.0002584039,0.000177658,0.00102859,0.00009707628,0.0001414795,0.0001247732,0.0005159806],"category_scores_gemma":[0.000009411756,0.0001711301,0.0000463653,0.0003149798,0.001469427,0.0006410569,0.000004771842,0.000331551,0.000003464658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007781069,"about_ca_system_score_gemma":0.0002098364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01590527,"about_ca_topic_score_gemma":0.04898311,"domain_scores_codex":[0.9977062,0.00008827886,0.0003743148,0.0005646469,0.0007523735,0.0005141248],"domain_scores_gemma":[0.9992622,0.0001160222,0.00005254292,0.0002076418,0.00005872123,0.0003029181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001639612,0.00006273652,0.9845799,0.0001641636,0.000042943,0.00001227561,0.005403696,0.00005912007,0.00003672431,0.003384739,0.00009684682,0.005992921],"study_design_scores_gemma":[0.0006081067,0.00005221656,0.9800667,0.00008486513,0.00005948972,8.389212e-8,0.002931828,0.00002041597,0.00006058575,0.001516351,0.01441651,0.0001828572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928222,0.0004798632,0.001357842,0.002285827,0.00006481852,0.0007481127,0.00005631251,0.00007300114,0.002112079],"genre_scores_gemma":[0.9963888,0.00217597,0.0001246316,0.0001004913,0.00006129544,0.0001409574,0.00008966511,0.0000144134,0.0009037579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03307784,"threshold_uncertainty_score":0.9906479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06963333168005803,"score_gpt":0.360469839930921,"score_spread":0.290836508250863,"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."}}