{"id":"W2604030907","doi":"10.1016/j.enpol.2017.02.053","title":"The merit order effect of Czech photovoltaic plants","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Electric Power System Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Australian National University; Grantová Agentura České Republiky; European Commission; McGill University","keywords":"Renewable energy; Photovoltaic system; Czech; Electricity; Electricity generation; Spot contract; Grid parity; Environmental economics; Economics; Feed-in tariff; Environmental science; Natural resource economics; Photovoltaics; Engineering; Power (physics); Energy policy; Electrical engineering; Physics; Financial economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001369549,0.0001077205,0.0001439115,0.00006703629,0.0001861562,0.00004853696,0.0003268747,0.00006093898,0.000006768244],"category_scores_gemma":[0.0001674305,0.00007650757,0.00003416711,0.00009728375,0.00003370425,0.00007414983,0.00003110847,0.00005436761,0.00001138647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004407077,"about_ca_system_score_gemma":0.00002512063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329712,"about_ca_topic_score_gemma":0.0001307503,"domain_scores_codex":[0.9994105,0.00003595523,0.0001421842,0.00007998532,0.0001140064,0.0002174148],"domain_scores_gemma":[0.9992661,0.00009606457,0.00006832284,0.0005101311,0.0000210024,0.00003835259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000267201,0.00007875773,0.007286313,0.0006235742,0.001498808,0.00004601277,0.001272551,0.2482861,0.3011562,0.05953801,0.06354309,0.3164034],"study_design_scores_gemma":[0.001212745,0.0001854126,0.002517589,0.00009038275,0.00002869446,0.00002919757,0.000006294595,0.153342,0.7457395,0.0003605745,0.09608297,0.000404648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5526314,0.004450802,0.0293791,0.0004554827,0.003537601,0.0006230635,0.00004240912,0.001007928,0.4078723],"genre_scores_gemma":[0.9983417,0.0002784064,0.00005431377,0.00001154938,0.0001947255,0.0000256495,0.000003407128,0.00002792822,0.001062362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4457103,"threshold_uncertainty_score":0.3119888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003234139116033303,"score_gpt":0.2222767160932612,"score_spread":0.2190425769772279,"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."}}