{"id":"W4313241406","doi":"10.1016/j.renene.2022.12.093","title":"Cold energy storage as a solution for year-round renewable artificial ground freezing: Case study of the Giant Mine Remediation Project","year":2022,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Thermosiphon; Renewable energy; Cold storage; Permafrost; Environmental science; Energy storage; Engineering; Refrigeration; Work (physics); Mechanical engineering; Heat exchanger; Power (physics); Electrical engineering; Geology; Thermodynamics","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":[0.0004713973,0.0001744527,0.0002413895,0.0001463358,0.0008100687,0.00006634482,0.0002604177,0.00006547945,0.0008321388],"category_scores_gemma":[0.00004468307,0.0001447106,0.000100554,0.0006055089,0.00004352704,0.0001602831,0.00007312775,0.0000739734,0.000001453532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005334165,"about_ca_system_score_gemma":0.0002053336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8196032,"about_ca_topic_score_gemma":0.8508733,"domain_scores_codex":[0.998171,0.0002494073,0.0003704336,0.0003667207,0.0004701158,0.0003723642],"domain_scores_gemma":[0.9990388,0.0001860799,0.0002585168,0.0003740878,0.00007392245,0.00006858874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009455255,0.001208921,0.01922792,0.00009882014,0.0001827034,0.0005504682,0.005687132,0.8685365,0.064097,0.0003890787,0.03352448,0.005551429],"study_design_scores_gemma":[0.005917856,0.009352561,0.003776188,0.00007622695,0.0005249941,0.001547173,0.08796985,0.4785267,0.02114684,0.003174153,0.3861915,0.001795989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950357,0.0004430244,0.0004998948,0.0001237379,0.001198245,0.0004432749,0.001001451,0.00003474684,0.00121989],"genre_scores_gemma":[0.9930173,0.00004377171,0.00004455855,0.0001447983,0.0004365126,0.00007805511,0.0009111254,0.00001372167,0.005310156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3900099,"threshold_uncertainty_score":0.9111336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05511447343901991,"score_gpt":0.2548909718405144,"score_spread":0.1997764984014945,"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."}}