{"id":"W2802815197","doi":"","title":"Photovoltaics and the Slovak electricity market","year":2018,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Electric Power System Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University; Grantová Agentura České Republiky; European Commission; Univerzita Karlova v Praze","keywords":"Slovak; Photovoltaics; Electricity; Photovoltaic system; Electricity market; Spot contract; Economics; Market penetration; Environmental economics; Econometrics; Business; Engineering; Financial economics; Marketing; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001353985,0.0007228211,0.0009863401,0.0003823248,0.0002330091,0.0002459438,0.0006867914,0.00074051,0.0007332623],"category_scores_gemma":[0.0002877197,0.0006426209,0.0002595486,0.0003490996,0.0005307609,0.0001686312,0.0003506448,0.001251878,0.0001575405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006136885,"about_ca_system_score_gemma":0.00031426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019301,"about_ca_topic_score_gemma":0.000110644,"domain_scores_codex":[0.9970288,0.000283897,0.0008912258,0.0007630173,0.0003196449,0.0007133812],"domain_scores_gemma":[0.9975758,0.0005583509,0.0003501395,0.001137303,0.0001765112,0.0002018951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004121243,0.0001539256,0.2519951,0.002141522,0.002913481,0.0000665253,0.002108171,0.006578564,0.0004469673,0.002604644,0.7275567,0.003022265],"study_design_scores_gemma":[0.007122794,0.0001981269,0.02453436,0.0009501546,0.0009606025,0.0009043544,0.0001099226,0.8726975,0.004573707,0.004336459,0.07905409,0.004557989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7165261,0.01774483,0.0239967,0.0001946324,0.01098788,0.003035101,0.0001935335,0.001761898,0.2255593],"genre_scores_gemma":[0.9910071,0.002284911,0.002152415,0.0002093931,0.001086514,0.0003620941,0.00005399234,0.0002176986,0.002625915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8661189,"threshold_uncertainty_score":0.9996025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006434802487923034,"score_gpt":0.1962181182825192,"score_spread":0.1897833157945961,"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."}}