{"id":"W1975035461","doi":"10.1080/13563475.2014.942506","title":"Teleworking as a Mobility Strategy for Mexico City","year":2014,"lang":"en","type":"article","venue":"International Planning Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Metropolitan area; Work (physics); Modal shift; Service (business); Business; Public transport; Regional science; Environmental planning; Economic growth; Geography; Transport engineering; Marketing; Economics; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002935234,0.0001313881,0.00008311299,0.0005599948,0.001686711,0.001344743,0.0004272328,0.0005921698,0.003552182],"category_scores_gemma":[0.0005439731,0.00008219202,0.0001318018,0.0008310233,0.0005427077,0.0008662596,0.000991103,0.0003766086,0.0001251877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00209522,"about_ca_system_score_gemma":0.001494501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05611498,"about_ca_topic_score_gemma":0.1106051,"domain_scores_codex":[0.9998587,0.00003719152,0.00000484397,0.00001875249,0.00001368316,0.00006668222],"domain_scores_gemma":[0.9997534,0.00003695712,0.00007805944,0.00001795244,0.00004289474,0.00007073677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003349648,0.001402266,0.5980114,0.000483028,0.00008071747,0.00231825,0.06467509,0.002244866,0.004175474,0.04566685,0.01629918,0.264308],"study_design_scores_gemma":[0.00006647649,0.0005283383,0.7388755,0.0002862159,0.00007479216,0.0004094469,0.1686397,0.002386881,0.0008910142,0.002224642,0.08557932,0.00003762077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827635,0.0003068318,0.0002177307,0.001862786,0.00001331963,0.0000334135,0.00008083951,0.00001074766,0.01471072],"genre_scores_gemma":[0.9959852,0.0003991336,0.0003508959,0.00008307343,0.000009791377,0.00003465027,0.00006966908,0.000002175238,0.003065564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05611498,"threshold_uncertainty_score":0.1115767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226178159610572,"score_gpt":0.4388951981119794,"score_spread":0.3162773821509221,"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."}}