{"id":"W7139884767","doi":"","title":"Beyond Greenery: Unveiling the diverse impacts of green infrastructure within the Four Walls","year":2025,"lang":"","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, India","keywords":"Transformative learning; Green infrastructure; Equity (law); Social impact; Social impact assessment; Value (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005757193,0.000615757,0.000823553,0.0001534122,0.000718847,0.00005107028,0.001588064,0.0005235127,0.003266536],"category_scores_gemma":[0.00008355011,0.0005251475,0.0004901935,0.0003789288,0.000230437,0.0005506648,0.0003478548,0.0007139447,0.000003661824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051952,"about_ca_system_score_gemma":0.0008299533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2897324,"about_ca_topic_score_gemma":0.1271251,"domain_scores_codex":[0.997685,0.0002350661,0.0003732989,0.0004729644,0.000686661,0.0005469722],"domain_scores_gemma":[0.9971952,0.0004125019,0.000824924,0.0009481098,0.0004671573,0.0001520471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.002798749,0.0003906043,0.00942721,0.01387246,0.01042631,0.0002786585,0.4812588,0.2375509,0.02507514,0.04242282,0.009323074,0.1671753],"study_design_scores_gemma":[0.002494368,0.0003982316,0.292955,0.001732554,0.002812596,0.000008595235,0.6443413,0.05036939,0.001302794,0.001657053,0.0007195526,0.00120857],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503195,0.004452769,0.001997886,0.001688182,0.001859998,0.001648566,0.0001408753,0.0001038683,0.03778836],"genre_scores_gemma":[0.9793477,0.001080702,0.001089693,0.00002703235,0.0001001839,9.96335e-7,0.00007393343,0.00004233648,0.01823739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2835278,"threshold_uncertainty_score":0.99972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008745843877431023,"score_gpt":0.2287983301749106,"score_spread":0.2200524862974795,"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."}}