{"id":"W4239762118","doi":"10.3386/w20291","title":"Unhappy Cities","year":2014,"lang":"gl","type":"report","venue":"National Bureau of Economic Research","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Institute for Humane Studies, George Mason University; National Science Foundation","keywords":"Geography","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":[0.0008576138,0.0005585047,0.0004419635,0.001865677,0.002596468,0.003608542,0.0008647491,0.001003987,0.02762668],"category_scores_gemma":[0.003833447,0.0004503822,0.0003319913,0.004603251,0.0009789043,0.00369372,0.006321702,0.002744982,0.00426985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391732,"about_ca_system_score_gemma":0.004678892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04962021,"about_ca_topic_score_gemma":0.1160205,"domain_scores_codex":[0.9983782,0.0001361828,0.0000725385,0.0001819563,0.0006360997,0.0005950208],"domain_scores_gemma":[0.9960895,0.0002221174,0.0007816086,0.0004047298,0.001051608,0.001450598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000201553,0.0002098123,0.1890086,0.0006896047,0.00009956332,0.0007348291,0.005890966,0.0007513158,0.0008036548,0.04088395,0.5269098,0.2338164],"study_design_scores_gemma":[0.00003200467,0.0001293781,0.3440363,0.000235992,0.00004156717,0.0003519257,0.00747466,0.0002556447,0.0004841675,0.003674104,0.643254,0.00003035336],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4826052,0.009389641,0.001700032,0.02744442,0.001480155,0.0004210563,0.06350315,0.0005086066,0.4129476],"genre_scores_gemma":[0.7127215,0.01576276,0.002118316,0.008186749,0.001004166,0.0004040426,0.05380985,0.0002352899,0.2057573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04962021,"threshold_uncertainty_score":0.09866279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5542471888464539,"score_gpt":0.5511325918818208,"score_spread":0.00311459696463301,"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."}}