{"id":"W2970476548","doi":"10.1007/s12053-019-09817-8","title":"Seeing is believing: an innovative approach to post-occupancy evaluation","year":2019,"lang":"en","type":"article","venue":"Energy Efficiency","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Washington State University","keywords":"Post-occupancy evaluation; Daylight; Daylighting; Disconnection; Architectural engineering; Context (archaeology); Thermal comfort; Built environment; Occupancy; Efficient energy use; Interface (matter); Engineering; Computer science; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006049546,0.0005816981,0.0005610649,0.0009397012,0.00108061,0.003886571,0.001409001,0.001262111,0.009998384],"category_scores_gemma":[0.02620144,0.0002129292,0.0005291682,0.0005369531,0.001928286,0.003006382,0.002589052,0.001650918,0.0006781999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089775,"about_ca_system_score_gemma":0.002171231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00200035,"about_ca_topic_score_gemma":0.005494653,"domain_scores_codex":[0.9941996,0.003430206,0.000157672,0.0003189726,0.001543848,0.0003497256],"domain_scores_gemma":[0.985015,0.009571341,0.0007405316,0.001034465,0.002810842,0.0008277663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00136402,0.003688538,0.04031978,0.0005287079,0.0001868469,0.0003609985,0.01984819,0.008545292,0.01331137,0.1801986,0.0106867,0.720961],"study_design_scores_gemma":[0.0004087981,0.0063636,0.07885358,0.0006334241,0.0006240261,0.001178246,0.05280509,0.3446632,0.03780215,0.3866651,0.08948448,0.0005182484],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.241371,0.0001962993,0.6295872,0.002970815,0.0003380445,0.001220879,0.0003379346,0.001203319,0.1227744],"genre_scores_gemma":[0.8591485,0.00007141307,0.1310291,0.0003314892,0.00004014714,0.0006344155,0.0001370719,0.0001334513,0.008474514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009998384,"threshold_uncertainty_score":0.03344792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104942635372381,"score_gpt":0.2281262926203763,"score_spread":0.2176320290831383,"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."}}