{"id":"W7011716658","doi":"","title":"Nature Nurtures: Architectural Greenery Systems to Support Healing in Canadian Hospitals","year":2021,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visitor pattern; Redevelopment; Architecture; Healthcare system; Health care; Palliative care; Level design; Landscape architecture","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":[0.0008537222,0.0002794386,0.0001093539,0.0007474836,0.01186448,0.004451382,0.001030332,0.0006966296,0.007971017],"category_scores_gemma":[0.001042817,0.0001835534,0.0002490657,0.0011159,0.003894817,0.0008412348,0.002218516,0.0008666331,0.0005832176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05206618,"about_ca_system_score_gemma":0.07411417,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8740217,"about_ca_topic_score_gemma":0.9795974,"domain_scores_codex":[0.9993353,0.0001313669,0.00001002886,0.00004637334,0.0002329634,0.0002438206],"domain_scores_gemma":[0.9994574,0.00004161902,0.00003024575,0.00002355306,0.0001619579,0.0002852298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001119176,0.0002899776,0.01730119,0.0005164009,0.00002023917,0.0009032227,0.1630003,0.004995075,0.005044298,0.2981682,0.1697136,0.3399355],"study_design_scores_gemma":[0.0000131915,0.00007682116,0.02600206,0.0002580127,0.00001769804,0.0001245901,0.124876,0.001060318,0.001087776,0.005464193,0.8409811,0.00003831774],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.389569,0.002792027,0.004678339,0.02219485,0.000326383,0.0003091727,0.0003120149,0.0001453264,0.5796729],"genre_scores_gemma":[0.8226013,0.003687622,0.01016707,0.001122224,0.00003127346,0.00006690672,0.000152805,0.00006481558,0.1621059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1259783,"threshold_uncertainty_score":0.3777683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006230459639805543,"score_gpt":0.2091726582425535,"score_spread":0.202942198602748,"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."}}