{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007821636,0.0002527324,0.0002182163,0.0009480435,0.00119354,0.00255506,0.0002960435,0.0008366179,0.009554611],"category_scores_gemma":[0.003768956,0.0001517849,0.0001897514,0.001987691,0.003019637,0.002643435,0.001241754,0.0006058334,0.0003260082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029837,"about_ca_system_score_gemma":0.0006486056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01312465,"about_ca_topic_score_gemma":0.01883505,"domain_scores_codex":[0.9993498,0.0004084559,0.00002327693,0.00006342276,0.00007402401,0.00008107634],"domain_scores_gemma":[0.9967533,0.00193155,0.0005801689,0.0000879006,0.0001190522,0.0005279818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007207592,0.0007277892,0.4081823,0.0006890432,0.0004138916,0.0009614966,0.03975002,0.008146136,0.0004286326,0.4243759,0.009107546,0.1064965],"study_design_scores_gemma":[0.00009334218,0.0002691126,0.3654547,0.0004687972,0.0001595511,0.001061482,0.0816313,0.00775298,0.0001929831,0.4853293,0.05749195,0.00009455485],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8819321,0.006053279,0.003622698,0.0115522,0.0001174467,0.00004005856,0.0006749054,0.00002069258,0.09598655],"genre_scores_gemma":[0.9965842,0.001111644,0.0002474578,0.0000654605,0.0000321981,0.00001208286,0.00004614422,0.000002607983,0.001898178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01312465,"threshold_uncertainty_score":0.03196341,"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."}}