{"id":"W4210586041","doi":"10.1016/j.solener.2022.01.041","title":"A reliable framework to predict the temperature dependent thermal conductivity of multicomponent salt based PCMs in both solid and liquid state","year":2022,"lang":"en","type":"article","venue":"Solar Energy","topic":"Phase Change Materials Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Thermal conductivity; Thermodynamics; Melting point; Grain size; Porosity; Molten salt; Microstructure; Volume fraction; Phase (matter); Thermal energy storage; Composite material; Metallurgy; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005189231,0.0007876968,0.0006204897,0.000395953,0.0004283293,0.0007655574,0.0009686051,0.001008133,0.001218897],"category_scores_gemma":[0.001350036,0.0003280553,0.0006194512,0.0003154805,0.000582446,0.001071822,0.0005964638,0.001179185,0.0006119258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499872,"about_ca_system_score_gemma":0.001517618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003904477,"about_ca_topic_score_gemma":0.005063755,"domain_scores_codex":[0.9998528,0.00002610332,0.000008830028,0.00001959154,0.00007234876,0.00002037076],"domain_scores_gemma":[0.9997677,0.00008609687,0.00001828528,0.00003885523,0.00007396731,0.00001511884],"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":[0.00003438941,0.00008896427,0.0007370668,0.000148699,0.00004054347,0.0001449349,0.00004822105,0.9111111,0.03526649,0.03702914,0.001030813,0.01431963],"study_design_scores_gemma":[0.000002085303,0.000006889724,0.00005254626,0.000002998195,0.000003117923,0.000006319931,0.000004399485,0.9951078,0.002295131,0.002181157,0.000333977,0.000003684977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05244895,0.0004857164,0.9401643,0.00022429,0.0001229261,0.0001230673,0.000415527,0.0006602411,0.005354955],"genre_scores_gemma":[0.8505027,0.0008742439,0.1395169,0.0001435508,0.0001016756,0.0003600691,0.0006151036,0.0003624264,0.007523338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003904477,"threshold_uncertainty_score":0.007763445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411830451537849,"score_gpt":0.2472996290544651,"score_spread":0.2331813245390866,"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."}}