{"id":"W4413951433","doi":"10.1016/j.enbuild.2025.116376","title":"Performance evaluation of predictive models for a Grid-Connected Building-Integrated photovoltaic system (BIPV)","year":2025,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intelligent Mechatronic Systems (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Building-integrated photovoltaics; Photovoltaic system; Grid; Computer science; Architectural engineering; Environmental science; Engineering; Electrical engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005772884,0.0006225811,0.000679827,0.0002898711,0.0002797249,0.0007361107,0.0006345157,0.0006071497,0.0007945241],"category_scores_gemma":[0.001428152,0.0002821755,0.0005743971,0.0003893118,0.0002646516,0.0005446177,0.000354555,0.0005132867,0.0001445896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007580976,"about_ca_system_score_gemma":0.00062935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790077,"about_ca_topic_score_gemma":0.01032648,"domain_scores_codex":[0.9998,0.00007332074,0.00001188864,0.00003419224,0.00005756148,0.0000229879],"domain_scores_gemma":[0.9993943,0.0003728557,0.00006079445,0.00004831371,0.0001053217,0.0000184267],"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":[0.00002426823,0.00001717937,0.0007603946,0.00001687732,0.000008639178,0.00001090866,0.000007656005,0.9963385,0.0004100052,0.0001358645,0.00004626392,0.00222356],"study_design_scores_gemma":[0.000002703237,0.00001972969,0.0003268294,0.000001742611,0.000003251482,0.000002067532,0.000005554214,0.9991902,0.0003406081,0.00005930373,0.00004631074,0.000001657059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8835865,0.0005031228,0.106221,0.0002454694,0.00004029597,0.00009720563,0.0006347877,0.0006134592,0.008058084],"genre_scores_gemma":[0.9933922,0.0001102421,0.005802749,0.00001373139,0.000003306311,0.00003760471,0.0002114119,0.00001353701,0.0004151281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790077,"threshold_uncertainty_score":0.03559315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486187371256657,"score_gpt":0.2503160995856107,"score_spread":0.2354542258730442,"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."}}