{"id":"W3209608563","doi":"10.32920/ryerson.14644041.v1","title":"Light shapes space: how light influences our perception of space","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Materiality (auditing); Space (punctuation); Perception; Architecture; Computer science; Architectural engineering; Human–computer interaction; Engineering; Aesthetics; Visual arts; Psychology; Art","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":[0.00007547491,0.0002675474,0.0003311046,0.0001486182,0.00003143633,0.0000910388,0.0002226509,0.000235586,0.000115531],"category_scores_gemma":[0.00001798504,0.0002377016,0.0001653273,0.0001270861,0.000007758304,0.00007901914,0.0001756082,0.0003815576,0.0000240382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004160216,"about_ca_system_score_gemma":0.00006342346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002085438,"about_ca_topic_score_gemma":0.00003056837,"domain_scores_codex":[0.9990127,0.00004028996,0.0001941925,0.0002869547,0.0002953477,0.000170492],"domain_scores_gemma":[0.9995283,0.00002970831,0.00006296227,0.0002044744,0.0001123425,0.0000622466],"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":[0.000009136469,0.00003480349,0.0005822305,0.0009659139,0.0003035322,0.00002195896,0.00339785,0.8984566,0.07872903,0.0007507548,0.009329998,0.007418235],"study_design_scores_gemma":[0.001331778,0.0004150368,0.201838,0.004132158,0.0007792593,0.0001478785,0.0194614,0.5377958,0.1609279,0.0265539,0.04052776,0.006089185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5684263,0.002672732,0.381949,0.01406964,0.001276381,0.0005551195,0.00001600056,0.000841195,0.03019362],"genre_scores_gemma":[0.9820293,0.0001655072,0.01663427,0.00004421459,0.0002826586,0.00002145782,0.00002444859,0.00003295181,0.0007652399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.413603,"threshold_uncertainty_score":0.9693192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078891453773819,"score_gpt":0.2254899613066234,"score_spread":0.2147010467688852,"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."}}