{"id":"W4226073668","doi":"10.1007/s43621-022-00081-y","title":"Sustainability planning, implementation, and assessment in cities: how can productivity enhance these processes?","year":2022,"lang":"en","type":"article","venue":"Discover Sustainability","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Mitacs","keywords":"Sustainability; Productivity; Environmental planning; Business; Urban planning; Resource (disambiguation); Social sustainability; Process management; Environmental resource management; Knowledge management; Management science; Engineering; Computer science; Economic growth; Geography; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001640065,0.0003857674,0.0004094106,0.000249209,0.0003492384,0.0002294434,0.0003183009,0.00005408493,0.00007852524],"category_scores_gemma":[0.000440626,0.0004131959,0.00006227865,0.0009817022,0.0001837835,0.0006744378,0.0003805098,0.0006872283,8.078928e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006328124,"about_ca_system_score_gemma":0.003223616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008331626,"about_ca_topic_score_gemma":0.0002998098,"domain_scores_codex":[0.9969516,0.0003894477,0.0004124662,0.0008143607,0.0005440712,0.000888031],"domain_scores_gemma":[0.9984888,0.0002077706,0.000104693,0.0006345701,0.0004327349,0.0001314044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001259258,0.0006972839,0.8794971,0.006862823,0.00009886077,0.0001795683,0.02500723,0.05923131,0.0000974412,0.008097803,0.001624689,0.01848],"study_design_scores_gemma":[0.001580054,0.0004575518,0.3502809,0.00002920385,0.00005075518,0.0000187919,0.5227304,0.003146862,0.001252681,0.08260452,0.03652136,0.001326948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874854,0.0004583261,0.004307461,0.004599528,0.0001650939,0.002330268,0.00007158299,0.0002417082,0.0003406368],"genre_scores_gemma":[0.997232,0.00001632521,0.0001447238,0.00004801384,0.00005008155,0.001967688,0.00004950599,0.00004891668,0.0004427631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5292162,"threshold_uncertainty_score":0.999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009019058208505898,"score_gpt":0.3026358394922852,"score_spread":0.2936167812837793,"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."}}