{"id":"W4214724266","doi":"10.21203/rs.3.rs-1390087/v1","title":"Sustainability planning, implementation, and assessment in cities: how can productivity enhance these processes?","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":1,"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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003718954,0.0003819585,0.0004421316,0.0007272678,0.0002667989,0.0004779109,0.0004822684,0.0001528996,0.0001671599],"category_scores_gemma":[0.0005936172,0.0004116184,0.00005278336,0.0009433269,0.0001577252,0.0002152552,0.001208724,0.002821195,2.816635e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004569775,"about_ca_system_score_gemma":0.00437166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001009153,"about_ca_topic_score_gemma":0.0003613463,"domain_scores_codex":[0.995674,0.0007341055,0.0003457586,0.0009427578,0.001225693,0.001077691],"domain_scores_gemma":[0.9977486,0.000451282,0.00007972547,0.0007523276,0.0007995709,0.0001684908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001714127,0.001012433,0.5709069,0.1332489,0.000484438,0.001045759,0.0584287,0.143199,0.0004557086,0.004691958,0.01647346,0.06988134],"study_design_scores_gemma":[0.002014998,0.001080112,0.2934359,0.001946661,0.000059049,0.00001733359,0.5037832,0.01301449,0.00452117,0.07455584,0.1025646,0.003006627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841734,0.002847071,0.001989082,0.004246084,0.0002299381,0.004940896,0.0001510111,0.0003334229,0.001089116],"genre_scores_gemma":[0.9938229,0.000475736,0.0004693331,0.000006889481,0.0001292649,0.004216962,0.0001612962,0.00007651849,0.0006410839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4453546,"threshold_uncertainty_score":0.9998336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04254172620875146,"score_gpt":0.4250961531018393,"score_spread":0.3825544268930878,"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."}}