{"id":"W2904721508","doi":"10.2495/sdp180171","title":"LIVEABLE AND HEALTHY CITY DESIGN","year":2018,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Happiness; Attractiveness; Architectural engineering; Quality (philosophy); Urban planning; Business; Ranking (information retrieval); Computer science; Public relations; Environmental planning; Marketing; Environmental economics; Psychology; Geography; Engineering; Civil engineering; Political science; Social psychology; Economics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930753,0.0005063844,0.0002852285,0.00104024,0.002167641,0.004996032,0.001179498,0.0009831027,0.01252939],"category_scores_gemma":[0.002422303,0.0002910713,0.0004413535,0.0008181694,0.003872541,0.001531556,0.004630342,0.00073681,0.001443216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002361253,"about_ca_system_score_gemma":0.002847685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007374638,"about_ca_topic_score_gemma":0.02530745,"domain_scores_codex":[0.9976535,0.001257849,0.00006728877,0.0002586677,0.000502468,0.000260127],"domain_scores_gemma":[0.9990381,0.0002300902,0.00007437642,0.0001944662,0.0002621018,0.0002007817],"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":[0.0002487997,0.0003398361,0.01509966,0.001174501,0.00007911466,0.0006536984,0.02536353,0.01144198,0.006407427,0.6306351,0.01806125,0.2904952],"study_design_scores_gemma":[0.0001513208,0.0008522806,0.02158539,0.0006038154,0.000140584,0.000818621,0.0329686,0.01329853,0.007730034,0.2712765,0.650435,0.0001393364],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916169,0.002003676,0.4092904,0.008017999,0.0004706967,0.001077127,0.0006296905,0.001024301,0.3858692],"genre_scores_gemma":[0.7886202,0.000992076,0.1478597,0.0007697168,0.00004502158,0.0006635759,0.0004416257,0.0001910388,0.06041705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01252939,"threshold_uncertainty_score":0.041915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087495549689893,"score_gpt":0.1707058623788167,"score_spread":0.1598309068819178,"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."}}