{"id":"W4367358012","doi":"10.2139/ssrn.4428761","title":"Cool Running: Passive Radiative Cooling to Sub-Ambient Temperatures Inside Naturally Ventilated Buildings","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Thermal Radiation and Cooling Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Radiative cooling; Environmental science; Passive cooling; Ventilation (architecture); Radiative transfer; Atmospheric sciences; Meteorology; Architectural engineering; Physics; Engineering; Thermal; Optics","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.000670257,0.0005710078,0.0005644363,0.0007568156,0.0002661551,0.0003271158,0.0009192267,0.0005642663,0.00001016617],"category_scores_gemma":[0.0003010409,0.0005717955,0.0002903854,0.0005582634,0.00004531331,0.0001317831,0.0003632734,0.008751753,0.0001031964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002633023,"about_ca_system_score_gemma":0.001169934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004160419,"about_ca_topic_score_gemma":0.0001489193,"domain_scores_codex":[0.9959236,0.00005006657,0.0006268981,0.0004779962,0.0004484614,0.002472991],"domain_scores_gemma":[0.998853,0.00007526595,0.0002657549,0.0004002945,0.0002247714,0.0001808625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002401902,0.00003617797,0.0001873048,0.00009749067,0.001647653,0.0001215493,0.00144381,0.9556553,0.01699977,0.01253496,0.005229093,0.005806693],"study_design_scores_gemma":[0.00718123,0.002132562,0.02137262,0.00611719,0.001367933,0.002365557,0.01721,0.1682118,0.2703867,0.4618966,0.0300064,0.01175145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796167,0.006858942,0.006702766,0.0008570006,0.002746703,0.000553477,0.00003335796,0.002581007,0.00005005568],"genre_scores_gemma":[0.9904847,0.008104676,0.000277066,0.0001334101,0.0004263615,0.00006353675,0.00004030489,0.0001754536,0.000294458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7874435,"threshold_uncertainty_score":0.9996734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00938283307530911,"score_gpt":0.2355451746074771,"score_spread":0.226162341532168,"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."}}