{"id":"W4406326741","doi":"10.1016/j.apenergy.2025.125288","title":"A holistic framework to optimize embedding PV systems into building façades","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Photovoltaic Systems and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Embedding; Architectural engineering; Computer science; Photovoltaic system; Automotive engineering; Process engineering; Environmental science; Reliability engineering; Engineering; Electrical engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005328686,0.001316336,0.0007765593,0.000550955,0.000350074,0.001306371,0.0008596498,0.0009813916,0.002862849],"category_scores_gemma":[0.0007952808,0.0006186889,0.0008702526,0.00051674,0.0006144895,0.0006615054,0.0009383082,0.0009053012,0.0003032427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009855533,"about_ca_system_score_gemma":0.001795775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060032,"about_ca_topic_score_gemma":0.01451497,"domain_scores_codex":[0.9998018,0.00004888478,0.000005447293,0.00002860521,0.00007579319,0.00003947094],"domain_scores_gemma":[0.9998566,0.00006448919,0.00001490457,0.0000129292,0.0000368474,0.0000142221],"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":[0.00000279872,0.00000572974,0.00008018429,0.00001253913,0.000005768008,0.00001013399,0.000004130166,0.9930539,0.0004255009,0.002613898,0.0001131226,0.003672393],"study_design_scores_gemma":[0.000002582576,0.00001123448,0.00005129049,0.000003821783,0.000003985278,0.000004743674,0.000007135095,0.9974083,0.0001301626,0.001853582,0.0005210105,0.000002109456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02304707,0.0004705387,0.9634083,0.0002177657,0.00003851117,0.00005620796,0.0001497239,0.0003087428,0.01230313],"genre_scores_gemma":[0.6410147,0.0007702411,0.3510695,0.0001177282,0.00003905092,0.0002492098,0.0002729037,0.0002354221,0.006231268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01060032,"threshold_uncertainty_score":0.02107728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00825742266009379,"score_gpt":0.2678807295587888,"score_spread":0.259623306898695,"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."}}