{"id":"W3140081779","doi":"10.3390/inventions6020023","title":"Emerging Technologies for the Energy Systems of the Future","year":2021,"lang":"en","type":"article","venue":"Inventions","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Emerging technologies; Renewable energy; Energy (signal processing); Energy system; Energy transition; New energy; Emerging markets; Natural resource economics; Risk analysis (engineering); Business; Environmental economics; Computer science; Economics; Engineering; Medicine; Macroeconomics; Physics; Electrical engineering; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001605879,0.0001078865,0.0001662539,0.00004919279,0.0003426932,0.00003834695,0.0004377444,0.00009774007,0.00002479273],"category_scores_gemma":[0.0001223799,0.00006197856,0.0002650474,0.0005401067,0.0001009058,0.00004740032,0.0001350749,0.00008207838,0.000003169928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391327,"about_ca_system_score_gemma":0.00009134123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733317,"about_ca_topic_score_gemma":0.005127682,"domain_scores_codex":[0.999019,0.0001033663,0.0003142099,0.0001759017,0.000185416,0.0002021622],"domain_scores_gemma":[0.9987226,0.0001444296,0.0001584595,0.0007850857,0.0001730504,0.00001633865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002270139,0.00004333728,0.0003104097,0.00007082684,0.0002254267,0.000002656676,0.00007245458,0.08323891,0.005473782,0.8899027,0.01329916,0.007358095],"study_design_scores_gemma":[0.0001857437,0.000007724191,0.0000937679,0.0001041166,0.00006239456,0.00003074361,0.005448943,0.005434828,0.03053206,0.003985866,0.9540148,0.00009904074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1031632,0.3539091,0.1977172,0.08624349,0.1094506,0.003468252,0.0007352818,0.004625725,0.1406871],"genre_scores_gemma":[0.9826858,0.0002151897,0.0001191937,0.00004392998,0.0004280128,0.0003112226,0.00001323977,0.00002515688,0.01615826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9407156,"threshold_uncertainty_score":0.2861367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525598896103028,"score_gpt":0.2379770772748107,"score_spread":0.2227210883137805,"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."}}