{"id":"W4212785359","doi":"10.3390/en15041579","title":"Electrochemical Cells and Storage Technologies to Increase Renewable Energy Share in Cold Climate Conditions—A Critical Assessment","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced battery technologies research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Energy storage; Renewable energy; Environmental science; Electrolyte; Process engineering; Electrochemistry; Cold storage; Materials science; Electrical engineering; Engineering; Power (physics); Electrode; Chemistry; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001145823,0.0001690158,0.0002094958,0.000387363,0.0001634403,0.00004565791,0.0003420649,0.00008846124,0.0001275531],"category_scores_gemma":[0.0001166108,0.0001929804,0.0000227823,0.0005428106,0.0001056507,0.0001362058,0.0008551914,0.0004094121,0.000002873419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000398409,"about_ca_system_score_gemma":0.00002633658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007050188,"about_ca_topic_score_gemma":0.00007896183,"domain_scores_codex":[0.9986569,0.00003758878,0.0001928902,0.0003037361,0.0002443617,0.0005645433],"domain_scores_gemma":[0.9993604,0.0002276131,0.00001258743,0.0003205616,0.00002399815,0.00005488578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001281455,0.00004604061,0.0002304077,0.00004914645,0.00001005746,0.00009738678,0.0000200277,0.1946039,0.7908205,0.008155715,0.00551934,0.000434655],"study_design_scores_gemma":[0.0003453707,0.0002129025,0.0001678987,0.00003334474,0.00000643219,0.00002475832,0.001751321,0.01887891,0.9404842,0.005068125,0.03256327,0.0004635081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856625,0.001473889,0.004899477,0.001402239,0.0001761402,0.000274413,0.0003570875,0.003427924,0.002326284],"genre_scores_gemma":[0.9938114,0.0003093276,0.00482308,0.00007426918,0.00001035444,0.0007934739,0.00003635484,0.00003517596,0.0001065058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.175725,"threshold_uncertainty_score":0.7869512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007671938289564702,"score_gpt":0.2681939483214343,"score_spread":0.2605220100318696,"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."}}