{"id":"W4230717387","doi":"10.1016/s1464-2859(12)70087-1","title":"Hydrogenics, Enbridge for utility energy storage","year":2012,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Energy storage; Computer science; Engineering; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004310316,0.0006444983,0.0003246967,0.0005562866,0.002469847,0.00234175,0.0006684746,0.001907944,0.2058574],"category_scores_gemma":[0.0003974328,0.000353967,0.000235677,0.0006621725,0.0004493566,0.001087991,0.0009347119,0.00155638,0.05604491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00381344,"about_ca_system_score_gemma":0.007583899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1556519,"about_ca_topic_score_gemma":0.4184495,"domain_scores_codex":[0.9995683,0.00001098665,0.000006817538,0.0000455067,0.0003019228,0.00006653139],"domain_scores_gemma":[0.9997025,0.00001011285,0.000007720545,0.000021732,0.000176329,0.00008143411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008189466,0.00002854026,0.0003314277,0.00005597714,0.000003158292,0.0001835872,0.00004762526,0.0001519682,0.001824339,0.01267815,0.9457923,0.03882113],"study_design_scores_gemma":[0.00000588731,0.000006650918,0.0004326635,0.00001226934,7.725062e-7,0.000027718,0.00002599352,0.00008726245,0.0004757356,0.0003801329,0.9985418,0.000003036892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002965539,0.004001486,0.001703599,0.01067542,0.001722686,0.0001423169,0.005877606,0.001598066,0.9713134],"genre_scores_gemma":[0.003938522,0.0005755271,0.0003287731,0.0004748139,0.00005523671,0.000009116888,0.001093432,0.0001014124,0.9934232],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2058574,"threshold_uncertainty_score":0.6886615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0161480416631899,"score_gpt":0.2167399846875446,"score_spread":0.2005919430243547,"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."}}