{"id":"W2040468051","doi":"10.1016/j.enbuild.2012.02.021","title":"Evaluation of energy supply and demand in solar neighborhood","year":2012,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Offset (computer science); Photovoltaic system; Electricity; Electricity generation; Building-integrated photovoltaics; Mains electricity; Environmental science; Civil engineering; Engineering; Electrical engineering; Computer science; Power (physics); Voltage","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004472308,0.0001027982,0.0001252111,0.0001151423,0.00003264316,0.00001140139,0.00003984456,0.00009752629,0.00002367074],"category_scores_gemma":[0.00001554416,0.0001026253,0.00001555728,0.0001383132,0.00002601376,0.0002626059,0.00002324041,0.00004249566,5.108375e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002272545,"about_ca_system_score_gemma":0.000009105934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009070657,"about_ca_topic_score_gemma":0.00005347655,"domain_scores_codex":[0.9993773,0.00003647195,0.0001518028,0.00009873247,0.0001635561,0.0001721854],"domain_scores_gemma":[0.999779,0.00002699989,0.00002804768,0.00007654187,0.00003451574,0.00005485036],"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":[0.00002308383,0.00009019314,0.03628042,0.00005629982,0.00009971477,8.545389e-7,0.0005749702,0.5684714,0.01121139,0.1754482,0.0003514007,0.2073921],"study_design_scores_gemma":[0.001908872,0.00007740239,0.01985053,0.0001560348,0.0001903905,0.00003297596,0.00009056752,0.8618634,0.09070864,0.01149413,0.0130156,0.0006114879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534099,0.01006718,0.03381312,0.0000259533,0.0001865027,0.00002851986,0.000001711253,0.00005667617,0.002410501],"genre_scores_gemma":[0.9980806,0.0009148422,0.0008485037,0.00003198633,0.00006145815,0.00001427143,0.000008469246,0.00001523788,0.00002467581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2933919,"threshold_uncertainty_score":0.4184936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008381273134938801,"score_gpt":0.2025214914622211,"score_spread":0.1941402183272823,"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."}}