{"id":"W2996872686","doi":"","title":"Sorption thermal energy storage for sustainable heating and cooling","year":2019,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sorption; Thermal energy storage; Sustainable energy; Thermal; Environmental science; Materials science; Nuclear engineering; Waste management; Thermodynamics; Mechanical engineering; Architectural engineering; Engineering; Chemistry; Physics; Electrical engineering; Renewable energy; Organic chemistry; Adsorption","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":[0.000219526,0.0002853693,0.0003052927,0.000327294,0.0004654355,0.0007493896,0.0003595224,0.0004415584,0.008909127],"category_scores_gemma":[0.0002060551,0.0001824604,0.0003811961,0.000528854,0.0002756607,0.0008705283,0.0005859394,0.0006068685,0.002748813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007374135,"about_ca_system_score_gemma":0.0007196232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202516,"about_ca_topic_score_gemma":0.003028357,"domain_scores_codex":[0.9998392,0.00002165847,0.000006707427,0.00002770359,0.00008235965,0.00002238517],"domain_scores_gemma":[0.9999229,0.00001869309,0.00001038516,0.00001203285,0.00003055778,0.000005520462],"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":[0.0002645683,0.0002210309,0.001854306,0.002350411,0.00005552703,0.0002579427,0.0002348125,0.03649307,0.4661042,0.06350768,0.02892237,0.3997341],"study_design_scores_gemma":[0.00004776639,0.0005336248,0.003493175,0.0003269216,0.00008589518,0.0005435342,0.0003130687,0.1791501,0.3875883,0.02514267,0.4026737,0.0001011343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3552727,0.09305347,0.287881,0.005710549,0.002331033,0.0004936371,0.003646024,0.00370069,0.247911],"genre_scores_gemma":[0.9148274,0.01792918,0.02835581,0.0002816356,0.0001605494,0.0001426076,0.0009887835,0.0001712583,0.03714284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008909127,"threshold_uncertainty_score":0.02980405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006671340736606937,"score_gpt":0.1913402523163858,"score_spread":0.1846689115797788,"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."}}