{"id":"W2147094744","doi":"10.1177/0739456x08321799","title":"Fronts and Backs","year":2008,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yard; Recreation; Front (military); De facto; Geography; Work (physics); Sociology; Political science; Engineering; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.001326752,0.00002331717,0.00006146864,0.0001183843,0.0004819917,0.00004108274,0.00007269483,0.00003653279,0.00006560988],"category_scores_gemma":[0.0001766763,0.00001793185,0.00001264395,0.0001167004,0.0002653126,0.0001885972,0.000006976825,0.0002184562,0.000001536371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002312685,"about_ca_system_score_gemma":0.0005957661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003303124,"about_ca_topic_score_gemma":0.00002870045,"domain_scores_codex":[0.9992957,0.0001104823,0.000114181,0.00005376413,0.0003158931,0.0001099384],"domain_scores_gemma":[0.9994314,0.0001076605,0.00004752757,0.00003124104,0.0002475514,0.0001346536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001481554,0.0000732861,0.9525887,0.000007535982,0.000003993958,0.000005986692,0.02839611,2.065377e-7,0.0000433852,0.00009041958,0.01401754,0.004758005],"study_design_scores_gemma":[0.0000929761,0.00002904887,0.9348894,0.0000411558,0.000001968983,0.000009827878,0.005445134,0.000001651717,0.00001892504,0.0007480091,0.058697,0.00002487652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869224,0.002379622,0.00001177703,0.001538802,0.0002010321,0.00003464356,2.855998e-7,0.000002235848,0.008909184],"genre_scores_gemma":[0.9958203,0.000398162,0.0002707404,0.00003237648,0.000363218,4.791083e-7,3.570897e-7,0.000001656573,0.003112675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04467946,"threshold_uncertainty_score":0.3707139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539655167050586,"score_gpt":0.4909698398426305,"score_spread":0.3370043231375719,"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."}}