{"id":"W1997668165","doi":"10.1016/j.buildenv.2012.10.015","title":"A point obstruction stacking (POSt) approach to wall irradiance modeling across urban environments","year":2012,"lang":"en","type":"article","venue":"Building and Environment","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Irradiance; Stacking; Building envelope; Envelope (radar); Point (geometry); Computation; Mean squared error; Solar irradiance; Energy (signal processing); Computer science; Building energy simulation; Environmental science; Energy performance; Algorithm; Meteorology; Geography; Geometry; Mathematics; Statistics; Optics; Telecommunications; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004045681,0.0002478418,0.0001735572,0.00003130689,0.0003189142,0.00004917407,0.0001444842,0.00009712035,0.0001299862],"category_scores_gemma":[0.00001383674,0.0002460989,0.00004944707,0.00007353441,0.00009117235,0.0005021435,0.0002770257,0.0001541738,0.0002990161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005601252,"about_ca_system_score_gemma":0.000001889129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002141882,"about_ca_topic_score_gemma":0.000003198884,"domain_scores_codex":[0.9980729,0.00004809821,0.000269029,0.0005203067,0.0003794869,0.0007101765],"domain_scores_gemma":[0.9992184,0.00001694339,0.00006306961,0.0003183084,8.674048e-7,0.0003824236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001039566,0.0008387336,0.3313856,0.00006129016,0.00007920443,0.000005394455,0.03233675,0.3485447,0.2163278,0.0006039458,0.001371582,0.06834104],"study_design_scores_gemma":[0.003180091,0.0005247061,0.591776,0.0001721156,0.0002004038,0.0002938105,0.004602173,0.2198762,0.01999627,0.001171474,0.1545516,0.003655277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593102,0.0002440035,0.03894839,0.0001336151,0.0001143939,0.0003506322,0.000009578178,0.00003788335,0.0008512475],"genre_scores_gemma":[0.9762831,0.00009414557,0.022649,0.0002763387,0.0001216233,0.00007654713,0.00001535536,0.00003618708,0.0004476565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2603904,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01786987304128729,"score_gpt":0.2198417791675971,"score_spread":0.2019719061263098,"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."}}