{"id":"W4243515442","doi":"10.1515/energyo.0154.00006","title":"An investigation of the melting process of RT-35 filled circular thermal energy storage system","year":2019,"lang":"en","type":"dataset","venue":"energyo","topic":"Phase Change Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Thermal energy storage; Process (computing); Thermal; Materials science; Energy storage; Nuclear engineering; Process engineering; Environmental science; Computer science; Thermodynamics; Engineering; Physics; Operating system","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":[0.0003821334,0.0008716348,0.0007607358,0.001517133,0.0003713231,0.0006444944,0.0009470861,0.00108477,0.006301596],"category_scores_gemma":[0.0009053948,0.0001907348,0.0009811004,0.001843001,0.0002082777,0.0006057312,0.0004552456,0.0004323561,0.004349139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005985119,"about_ca_system_score_gemma":0.0005736593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01373186,"about_ca_topic_score_gemma":0.02810079,"domain_scores_codex":[0.9997023,0.00003584616,0.00004611583,0.00009165063,0.00007584768,0.00004828359],"domain_scores_gemma":[0.9996548,0.00009848305,0.00004358662,0.00006944907,0.0001161508,0.00001745262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002814021,0.0006851639,0.0606362,0.01542171,0.0008230538,0.001230585,0.0002750931,0.08402991,0.02338966,0.003952925,0.7171116,0.08963005],"study_design_scores_gemma":[0.0008950929,0.0007564306,0.1355304,0.001066785,0.0005125044,0.001067948,0.0007697148,0.1090106,0.04173359,0.005809051,0.7025054,0.0003425911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04572259,0.001666556,0.001289248,0.0002591104,0.0001161652,0.00006794353,0.9443442,0.002116051,0.004418125],"genre_scores_gemma":[0.06919587,0.0007438081,0.002419172,0.00008848482,0.00001922928,0.0001471598,0.9251296,0.0001204251,0.002136203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01373186,"threshold_uncertainty_score":0.02730387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352029005303065,"score_gpt":0.2572479673314638,"score_spread":0.2337276772784332,"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."}}