{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002663141,0.0001674338,0.0001398106,0.0002116529,0.00008109838,0.00004246553,0.0002138048,0.00009443853,0.0001089557],"category_scores_gemma":[0.00002328264,0.000169848,0.00002919198,0.001014774,0.000009921238,0.0002580466,0.00003603671,0.00009495889,0.00001717916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009272182,"about_ca_system_score_gemma":0.00004505255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003915192,"about_ca_topic_score_gemma":0.000003447367,"domain_scores_codex":[0.9988702,0.00003434791,0.0002078964,0.0002998209,0.0003252335,0.0002625096],"domain_scores_gemma":[0.9993199,0.00001540598,0.00003377039,0.000335163,0.0002265758,0.00006923594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005016869,0.00005610062,0.0003440853,0.000009877016,0.00001148924,1.528724e-7,0.0008795675,0.97417,0.002955368,0.008444797,0.0001218777,0.01300171],"study_design_scores_gemma":[0.0002155377,0.00009245359,0.0009791129,0.00002077942,0.000008426711,0.000002356577,0.0001177435,0.989917,0.005789013,0.00006728242,0.002515913,0.0002743923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7767997,0.0001770738,0.1749513,0.00002759375,0.0005182201,0.0001648322,0.000003591662,0.000345696,0.04701191],"genre_scores_gemma":[0.9940738,0.000006100142,0.004954698,0.0003516731,0.00007566954,0.00004785104,0.00008515442,0.00003807194,0.0003669678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.217274,"threshold_uncertainty_score":0.6926202,"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."}}