{"id":"W1997831078","doi":"10.1007/bf03326193","title":"Institutional scale operational symbiosis of photovoltaic and cogeneration energy systems","year":2010,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cogeneration; Photovoltaic system; Renewable energy; Fossil fuel; Process engineering; Automotive engineering; Electricity generation; Solar energy; Engineering; Environmental science; Waste management; Electrical engineering; Power (physics)","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":[0.001582775,0.0001865718,0.0002430757,0.0003126584,0.0008502229,0.002790761,0.001174154,0.000629806,0.005337369],"category_scores_gemma":[0.004606136,0.000162812,0.000252831,0.0003441167,0.001756962,0.002233308,0.0032701,0.0009261982,0.0003321379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001722069,"about_ca_system_score_gemma":0.00202517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978062,"about_ca_topic_score_gemma":0.002054845,"domain_scores_codex":[0.9990196,0.0004111136,0.00004620509,0.0001350197,0.0001413934,0.0002466864],"domain_scores_gemma":[0.9977234,0.000657551,0.0003093116,0.0005145774,0.0003392857,0.0004558186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00192893,0.002645324,0.05804304,0.0002360119,0.0004019798,0.002689912,0.002021787,0.2028887,0.03067425,0.5830759,0.004273273,0.1111208],"study_design_scores_gemma":[0.0007727311,0.00225808,0.08117824,0.0001089534,0.0002455101,0.0007094015,0.01440654,0.505253,0.01650226,0.3526125,0.02576418,0.0001885399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662008,0.00005068333,0.01138074,0.0006435769,0.00003828056,0.00005096922,0.0000335853,0.00009126211,0.02151007],"genre_scores_gemma":[0.9991409,0.0000113866,0.0004767766,0.000008305976,0.000002367952,0.000005984065,0.000006925357,0.000002033631,0.0003452587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005337369,"threshold_uncertainty_score":0.01785523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001745319066073651,"score_gpt":0.1675830942631939,"score_spread":0.1658377751971203,"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."}}