{"id":"W4300276671","doi":"10.4000/articulo.1793","title":"Expanding economic life: the potentialities and future of cities","year":2011,"lang":"en","type":"article","venue":"Articulo – revue de sciences humaines","topic":"Global Urban Networks and Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Economic geography; Environmental planning; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001020417,0.0003405337,0.0001989954,0.001244399,0.004807473,0.009291059,0.0005429304,0.001488156,0.00455761],"category_scores_gemma":[0.001513848,0.0001711929,0.0002732508,0.002066038,0.01593735,0.01533277,0.004249861,0.002279754,0.0007850186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003976866,"about_ca_system_score_gemma":0.002752761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004779661,"about_ca_topic_score_gemma":0.006789671,"domain_scores_codex":[0.9991872,0.0003850811,0.00001418085,0.00009195395,0.0001471978,0.0001744429],"domain_scores_gemma":[0.9993381,0.0001969562,0.0000667785,0.00007958744,0.0001132386,0.0002052715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005956933,0.000005578378,0.0003194062,0.00002543612,0.000001900067,0.00003513939,0.003932551,0.0002848812,0.00003687834,0.9768729,0.01018242,0.008296939],"study_design_scores_gemma":[0.000005532563,0.00001021256,0.001025963,0.0001182899,0.000003052083,0.00007488346,0.01037381,0.000526169,0.00006300013,0.7164961,0.2712902,0.00001284317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09753256,0.05082138,0.01405851,0.1731891,0.001821005,0.00003490603,0.0002965847,0.0001124239,0.6621337],"genre_scores_gemma":[0.9542227,0.01935815,0.00277504,0.003888225,0.0007855724,0.00005181708,0.0001169422,0.00003652065,0.01876504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009291059,"threshold_uncertainty_score":0.02885431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995428141986101,"score_gpt":0.2595694666937545,"score_spread":0.2296151852738935,"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."}}