{"id":"W3012319626","doi":"10.1016/j.buildenv.2020.106804","title":"Review of multi‐domain approaches to indoor environmental perception and behaviour","year":2020,"lang":"en","type":"article","venue":"Building and Environment","topic":"Noise Effects and Management","field":"Health Professions","cited_by":310,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Bundesamt für Energie; Natural Sciences and Engineering Research Council of Canada; Department of Education and Knowledge; Energistyrelsen; Bundesministerium für Wirtschaft und Energie; Energiteknologisk udviklings- og demonstrationsprogram; Norges Forskningsråd; Bundesministerium für Wirtschaft und Technologie","keywords":"Domain (mathematical analysis); Perception; Computer science; Environmental science; Architectural engineering; Psychology; Engineering; Mathematics; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003518266,0.0001217426,0.0002144529,0.00002375078,0.0001603375,0.000003074471,0.00004941845,0.00004862945,0.000207965],"category_scores_gemma":[0.00001190688,0.0001042983,0.00002780968,0.0000242333,0.00004328611,0.0000354644,0.0002707441,0.0001330172,0.0000430187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000567862,"about_ca_system_score_gemma":0.000003669524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135255,"about_ca_topic_score_gemma":5.840289e-7,"domain_scores_codex":[0.9990208,0.000136771,0.0002505026,0.0002830916,0.0001241918,0.000184638],"domain_scores_gemma":[0.9995992,0.00003081733,0.00008172895,0.0001066696,7.648432e-7,0.0001808076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002324151,0.0008516561,0.4184803,0.03169695,0.0001949248,0.00001954625,0.02751991,0.0000978203,0.1278482,0.001250127,0.02472175,0.3670864],"study_design_scores_gemma":[0.002737904,0.0008135333,0.7174023,0.005423042,0.0002758703,0.000003243768,0.008694057,0.000688639,0.0002909183,0.00006750385,0.262913,0.0006899993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826414,0.006590943,0.003479743,0.005666966,0.00004432641,0.001406848,0.00002701048,0.00002022531,0.0001225676],"genre_scores_gemma":[0.9638034,0.01918975,0.01170739,0.004884093,0.00007367782,0.0001690619,0.00001675626,0.0000203397,0.0001355288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3663964,"threshold_uncertainty_score":0.4253161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289861585226973,"score_gpt":0.3277804438626123,"score_spread":0.198794285339915,"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."}}