{"id":"W4398233401","doi":"10.3390/inventions9030062","title":"Recent Advances and Challenges in Emerging Power Systems","year":2024,"lang":"en","type":"article","venue":"Inventions","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science; Risk analysis (engineering); Medicine","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":[0.001719295,0.0004494907,0.0004210257,0.0006822259,0.0008136988,0.002943186,0.0007403073,0.001200164,0.01388949],"category_scores_gemma":[0.002807773,0.0001918404,0.000285929,0.001724446,0.00114179,0.004821025,0.001010085,0.001847874,0.002684474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009100847,"about_ca_system_score_gemma":0.001496557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009621072,"about_ca_topic_score_gemma":0.001902845,"domain_scores_codex":[0.9995024,0.0001225618,0.00003362007,0.00006410108,0.0002375128,0.0000398171],"domain_scores_gemma":[0.9985346,0.0006041675,0.00007593284,0.00009044816,0.000559943,0.000134889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000389308,0.00006503828,0.0007696043,0.001786255,0.00002218805,0.000272969,0.0004590106,0.004107286,0.00107627,0.3481806,0.0831861,0.5600356],"study_design_scores_gemma":[0.000004208435,0.0000498041,0.0004496185,0.0005824798,0.0000117524,0.0003289017,0.0004505132,0.003061329,0.0003655937,0.07445344,0.9202267,0.00001559229],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008129543,0.6299714,0.04915624,0.06037293,0.008206167,0.00006322692,0.0001976118,0.0003167714,0.243586],"genre_scores_gemma":[0.1383794,0.765499,0.02625288,0.006562843,0.01065098,0.00009855594,0.0002839495,0.000110395,0.05216199],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01388949,"threshold_uncertainty_score":0.04646498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05342690086914496,"score_gpt":0.2818920171045496,"score_spread":0.2284651162354047,"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."}}