{"id":"W4386432568","doi":"10.1007/978-981-19-9822-5_259","title":"Comparing Multiple Overheating Assessment Metrics Using Measured Data","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University; National Research Council Canada","funders":"","keywords":"Overheating (electricity); Wet-bulb globe temperature; Environmental science; Meteorology; Wet-bulb temperature; Humidity; Geography; Engineering; Relative humidity","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004382747,0.00026448,0.0002295901,0.0002840047,0.0001967336,0.0001025535,0.0003944594,0.0001177564,0.00001409515],"category_scores_gemma":[0.00002371073,0.0003009707,0.00002496036,0.0001499142,0.00009107178,0.0004352048,0.000456244,0.0002907988,0.000003813799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004303776,"about_ca_system_score_gemma":0.00002295669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009966888,"about_ca_topic_score_gemma":0.000003294441,"domain_scores_codex":[0.9984754,0.000001964436,0.0002243439,0.0004081968,0.0005798635,0.0003102758],"domain_scores_gemma":[0.9993827,0.00004209319,0.00004218766,0.0004096007,0.000005821999,0.0001176408],"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":[4.374801e-7,0.00000260173,0.0003424495,0.0000327804,0.00002618137,0.000004165842,0.00001895544,0.9914682,0.005609746,0.000520531,0.00002408654,0.001949901],"study_design_scores_gemma":[0.00009752729,0.000006284504,0.0006261111,0.0001093576,0.00002944383,0.000007688481,0.00001085206,0.9963808,0.0001842304,0.00002863238,0.002185605,0.0003334717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3742251,0.009018686,0.3883308,0.00006038061,0.01283487,0.00253454,0.0007240443,0.007591098,0.2046805],"genre_scores_gemma":[0.9829075,0.000663985,0.01426216,0.00000863457,0.0001392673,0.000004810682,0.0001294458,0.0001298572,0.001754296],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6086825,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05828776969345909,"score_gpt":0.2242133816294143,"score_spread":0.1659256119359553,"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."}}