{"id":"W3216620741","doi":"10.32920/ryerson.14655804.v1","title":"Light and Shadow Expression: Contrast, Luminosity, Porosity","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Shadow (psychology); Perception; Expression (computer science); Contrast (vision); Architecture; Architectural engineering; Computer science; Human–computer interaction; Artificial intelligence; Optics; Multimedia; Psychology; Visual arts; Engineering; Art; Physics","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":[0.0007007392,0.0002882242,0.000214229,0.0005770738,0.0006137965,0.005315951,0.0002785922,0.0003983032,0.00421526],"category_scores_gemma":[0.004619713,0.0002396389,0.0003058028,0.0004879231,0.002927344,0.002322485,0.002119805,0.0006246295,0.0002957117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104022,"about_ca_system_score_gemma":0.000366596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070976,"about_ca_topic_score_gemma":0.0008816162,"domain_scores_codex":[0.999306,0.0002265418,0.00002142527,0.00008515896,0.0002752785,0.00008558624],"domain_scores_gemma":[0.9989836,0.0005676182,0.0001481606,0.00007829991,0.0001557289,0.00006660671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001102797,0.0002610868,0.05046875,0.000607188,0.0001197886,0.00100096,0.01494413,0.01676106,0.08573383,0.5249193,0.002793523,0.3012876],"study_design_scores_gemma":[0.0001848101,0.0008899218,0.2976165,0.0007448141,0.0003372072,0.003940179,0.02501439,0.08186053,0.08659573,0.4189812,0.0834598,0.0003748811],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7873282,0.002051443,0.06520799,0.001166521,0.00008720838,0.00005829365,0.0001110775,0.0001480752,0.1438411],"genre_scores_gemma":[0.9951825,0.0002230288,0.002287487,0.00002972631,0.00001676301,0.00001033875,0.00001269234,0.00003767809,0.00219989],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005315951,"threshold_uncertainty_score":0.01410151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007860294038218828,"score_gpt":0.1924134582219117,"score_spread":0.1845531641836929,"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."}}