{"id":"W3003989372","doi":"10.1016/j.jclepro.2020.120356","title":"A new systematic decision support framework based on solar extended exergy accounting performance to prioritize photovoltaic sites","year":2020,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Photovoltaic system; Solar irradiance; Environmental science; Irradiance; Exergy efficiency; Viewpoints; Accounting; Environmental engineering; Environmental economics; Meteorology; Engineering; Process engineering; Geography; Business; Economics; Electrical engineering","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":[0.008390921,0.001127701,0.001449777,0.003311793,0.0007692695,0.003263178,0.001648615,0.001156532,0.002284307],"category_scores_gemma":[0.01244591,0.0005348802,0.001156232,0.002387497,0.0008070283,0.003256737,0.002105857,0.001000333,0.0003060683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745183,"about_ca_system_score_gemma":0.008432806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108643,"about_ca_topic_score_gemma":0.01362666,"domain_scores_codex":[0.9950406,0.001701377,0.0004387892,0.0007365435,0.001679708,0.0004030277],"domain_scores_gemma":[0.9922547,0.003714741,0.0008228613,0.0004849799,0.002382175,0.0003404105],"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":[0.0003424382,0.0004603635,0.00865432,0.0003273476,0.00034575,0.0003066787,0.0002725219,0.7305103,0.004065374,0.03333208,0.003524938,0.2178579],"study_design_scores_gemma":[0.00002954811,0.00007116399,0.0004961891,0.00002654739,0.00004546644,0.00002152323,0.00004787225,0.9848431,0.0009336447,0.01239552,0.00107307,0.00001624815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02429846,0.0001580243,0.9710606,0.0003995202,0.00004180408,0.0003518845,0.0003721355,0.0007315776,0.002585981],"genre_scores_gemma":[0.5482126,0.0001162677,0.4492949,0.0001369331,0.00004565049,0.0003259551,0.0007134641,0.00005162824,0.001102502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01108643,"threshold_uncertainty_score":0.04437596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845819987554408,"score_gpt":0.2530684138431132,"score_spread":0.2346102139675691,"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."}}