{"id":"W2461713576","doi":"10.24102/ijes.v5i2.669","title":"Advocacy for the Compact, Mixed-Use and Walkable City: Designing Smart and Climate Resilient Places","year":2016,"lang":"en","type":"article","venue":"International Journal of Environment and Sustainability","topic":"Software Engineering and Design Patterns","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Walkability; Architectural engineering; Climate change; Geography; Political science; Computer science; Environmental resource management; Environmental science; Engineering; Civil engineering; Built environment; Geology; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303689,0.00007284173,0.0001036554,0.000044988,0.0002079384,0.0001145025,0.000110387,0.00003286457,0.00001663671],"category_scores_gemma":[0.000912534,0.00004325327,0.00003580103,0.00001511526,0.0002736723,0.0002823598,0.00004619156,0.00005856477,1.999004e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001667924,"about_ca_system_score_gemma":0.0000486346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461697,"about_ca_topic_score_gemma":0.00002072379,"domain_scores_codex":[0.9992004,0.00008464855,0.0001900793,0.0001112109,0.0002539291,0.0001597083],"domain_scores_gemma":[0.9979011,0.001743299,0.0001049469,0.00005941458,0.0001026263,0.0000886603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002369273,0.00004439315,0.974198,0.00001645735,0.0000687508,0.000008611485,0.003016754,0.000122835,0.0001169409,0.0007629688,0.0003673333,0.02104007],"study_design_scores_gemma":[0.001564792,0.0002312132,0.8966589,0.00008763301,0.0000649234,0.00002784882,0.007888116,0.0002065279,0.0003254893,0.007445217,0.08530033,0.0001990172],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465151,0.0004073413,0.04516419,0.007543211,0.0001714013,0.0001715919,0.000005071446,0.000007605784,0.0000144247],"genre_scores_gemma":[0.9978467,0.001391439,0.0003747416,0.00005253756,0.0001058149,0.000004123918,2.752116e-7,0.00000449661,0.0002198944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.084933,"threshold_uncertainty_score":0.1763817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868567480904193,"score_gpt":0.2799306397673981,"score_spread":0.2612449649583562,"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."}}