{"id":"W2899356210","doi":"","title":"Does Commute Influence Postsecondary Students’ Social Capital? A Case Study of Four Universities in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Social capital; Postsecondary education; Demographic economics; Higher education; Sociology; Political science; Business; Economic growth; Economics; Social science","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01026684,0.0003866549,0.0006807351,0.001117052,0.003727561,0.00022819,0.001559773,0.0002628894,0.001166044],"category_scores_gemma":[0.0005636533,0.0003529319,0.0001253475,0.003130061,0.00329132,0.001502918,0.00006602321,0.001502092,0.0000170243],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002865562,"about_ca_system_score_gemma":0.007348267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951505,"about_ca_topic_score_gemma":0.9995672,"domain_scores_codex":[0.9824715,0.004541954,0.001370939,0.001020184,0.0084724,0.002122978],"domain_scores_gemma":[0.9864626,0.002170347,0.0002866313,0.0005565576,0.009818932,0.0007049344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005910957,0.0009505043,0.4823822,0.0001955822,0.0001657342,0.001898129,0.5088289,0.00004228333,0.00009581208,0.001817647,0.002440721,0.0005913772],"study_design_scores_gemma":[0.00110865,0.0005161866,0.4604316,0.00006746418,0.00001540771,4.857006e-7,0.532963,0.000002734335,0.00005850742,0.00009508941,0.004522197,0.000218672],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912914,0.0001231922,0.000004394464,0.002448703,0.0002981237,0.00291328,0.0004681463,0.00008817985,0.002364594],"genre_scores_gemma":[0.9967933,0.0002241903,0.0001230148,0.00006648509,0.0003120812,0.0004061369,0.00005981185,0.00005500481,0.001960034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02413405,"threshold_uncertainty_score":0.9998923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04291362543551616,"score_gpt":0.4352563961278715,"score_spread":0.3923427706923553,"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."}}