{"id":"W4200354357","doi":"10.1088/1742-6596/2069/1/012227","title":"BIPV/T for Arctic Residential Applications","year":2021,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Solar Thermal and Photovoltaic Systems","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Building-integrated photovoltaics; Photovoltaic system; Defrosting; Environmental science; Electricity; Automotive engineering; Energy consumption; Arctic; Solar energy; Meteorology; Computer science; Architectural engineering; Simulation; Mechanical engineering; Air conditioning; Engineering; Electrical engineering; 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":[0.0002434319,0.000230775,0.0003095262,0.000142231,0.0003379382,0.0003635961,0.0004145208,0.000314563,0.002857417],"category_scores_gemma":[0.0003032384,0.0000929314,0.0002909115,0.0002105088,0.0001141299,0.0002561002,0.0002964329,0.0002374371,0.0006939188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003458366,"about_ca_system_score_gemma":0.0003381764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002973339,"about_ca_topic_score_gemma":0.003602946,"domain_scores_codex":[0.9998318,0.00003283627,0.000004798019,0.00002613241,0.00008023551,0.00002423537],"domain_scores_gemma":[0.9998531,0.00003190131,0.00001018708,0.00001647544,0.00007404506,0.00001434111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001801377,0.0002947648,0.01772161,0.001349221,0.0001006897,0.0007306848,0.0002856232,0.1842297,0.6628152,0.001825972,0.004275894,0.1245693],"study_design_scores_gemma":[0.0001108494,0.002350306,0.02484331,0.0001079577,0.0001189557,0.0007018946,0.0003410753,0.467658,0.4763387,0.001016496,0.02635024,0.00006230064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8484208,0.001152829,0.1333245,0.0001699091,0.0001628717,0.0001093664,0.0008993453,0.001881552,0.01387891],"genre_scores_gemma":[0.989311,0.0001458981,0.00872402,0.00001918995,0.000007071758,0.0000270797,0.0001678904,0.00003537886,0.001562465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002973339,"threshold_uncertainty_score":0.009559035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215733858094777,"score_gpt":0.2646214990340411,"score_spread":0.2324641604530934,"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."}}