{"id":"W1988255621","doi":"10.1068/b3506ged","title":"Social Networks, Choices, Mobility, and Travel","year":2008,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Social mobility; Economic geography; Sociology; Geography; Social science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006415116,0.0001576769,0.000209312,0.00003903296,0.001501547,0.00007329755,0.00007427757,0.000147303,0.00002478273],"category_scores_gemma":[0.00001688384,0.0001506737,0.00002418551,0.00005344262,0.0006182487,0.0001956991,0.0000260839,0.0001861419,0.000001719296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001650429,"about_ca_system_score_gemma":0.00002521801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002131588,"about_ca_topic_score_gemma":0.000003676,"domain_scores_codex":[0.9988273,0.0001322942,0.0001735329,0.0003498412,0.0002002099,0.0003167803],"domain_scores_gemma":[0.9994732,0.0002285513,0.00006609498,0.00006867025,0.000004658224,0.0001588666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006083825,0.0000341741,0.9816921,0.00001153964,0.0000169189,0.00003993939,0.0157238,0.0003338311,0.00003085929,0.0001197545,0.0009981665,0.0009380166],"study_design_scores_gemma":[0.0003919749,0.00005678306,0.9903945,0.00002805407,0.00002940924,0.000004680167,0.001625331,0.0008656292,0.00001413304,0.0003610659,0.005978103,0.0002503274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796022,0.006454819,0.01114845,0.0001452295,0.00006771654,0.0002270249,0.000004736852,0.0000591717,0.002290626],"genre_scores_gemma":[0.9978328,0.0004028712,0.0007317748,0.00008406195,0.0003008349,0.000008873922,0.00001506704,0.000009376552,0.0006143312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01823059,"threshold_uncertainty_score":0.9997984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06575066463463371,"score_gpt":0.2842935947620938,"score_spread":0.2185429301274601,"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."}}