{"id":"W2025969102","doi":"10.1002/er.1799","title":"Performance assessment of a Stirling engine plant for local micro-cogeneration","year":2010,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Thermodynamic Systems and Engines","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cogeneration; Stirling engine; Primary energy; Electricity; Engineering; Waste management; Gas engine; Environmental science; Electricity generation; Power station; Process engineering; Automotive engineering; Mechanical engineering; Electrical engineering; Power (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":[0.0004738606,0.0005059342,0.0003840134,0.0003373176,0.0004566007,0.0006848619,0.0007351254,0.0005780796,0.003095893],"category_scores_gemma":[0.0007206224,0.0001936019,0.0004683589,0.0003124245,0.0003145147,0.0006288175,0.0003983695,0.0004056825,0.0003726979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074958,"about_ca_system_score_gemma":0.0006507415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006762436,"about_ca_topic_score_gemma":0.007981653,"domain_scores_codex":[0.999827,0.00003721138,0.000006822737,0.00004135108,0.00004776641,0.00003985328],"domain_scores_gemma":[0.9995638,0.0002364966,0.00003794248,0.00003483076,0.00007542584,0.00005155465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001889422,0.0005460544,0.01645902,0.0003439688,0.00006727729,0.0003419812,0.00007669347,0.9050233,0.05077554,0.000705377,0.0002882979,0.02348317],"study_design_scores_gemma":[0.0002239964,0.003578953,0.02845691,0.00001637002,0.0001140546,0.0001102906,0.0003729133,0.912914,0.05272805,0.0003810122,0.001048546,0.00005491446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960162,0.00004133235,0.002200994,0.00002670086,0.000005579979,0.00002535413,0.0000865546,0.00006590594,0.00153128],"genre_scores_gemma":[0.9989406,0.00001456209,0.000715353,0.000002209712,5.608418e-7,0.000005785496,0.00004267384,0.00000414007,0.0002740277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006762436,"threshold_uncertainty_score":0.01344615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359453444115514,"score_gpt":0.3404852114973987,"score_spread":0.3168906770562436,"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."}}