{"id":"W2596463741","doi":"10.1063/1.4978235","title":"Thermal conductivity of the sideledge in aluminium electrolysis cells: Experiments and numerical modelling","year":2017,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rio Tinto (Canada); Université du Québec à Chicoutimi; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Research Data Commons; Rio Tinto; Université de Montréal; Compute Canada","keywords":"Thermal diffusivity; Thermal conductivity; Materials science; Laser flash analysis; Microstructure; Thermal conduction; Electrolyte; Electrolysis; Aluminium; Porosity; Work (physics); Phase (matter); Composite material; Thermodynamics; Metallurgy; Chemistry; Electrode; Physics","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":[0.0002202814,0.0002499412,0.0005453294,0.00026253,0.0003033026,0.000641185,0.0005272494,0.0008284181,0.0008805908],"category_scores_gemma":[0.000614387,0.0002584767,0.0003835142,0.0005082123,0.0006233912,0.000540885,0.0002304546,0.0003786065,0.0002452423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007164249,"about_ca_system_score_gemma":0.0003075149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766983,"about_ca_topic_score_gemma":0.00256204,"domain_scores_codex":[0.9998907,0.00001212107,0.000005988898,0.00002849497,0.00004906985,0.00001361858],"domain_scores_gemma":[0.9996951,0.0001789428,0.00003348613,0.00003233288,0.00005102607,0.000009222923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002877185,0.0001263406,0.003642076,0.000461809,0.00002149575,0.0003249111,0.0003650495,0.7175257,0.2641711,0.002098583,0.000360317,0.01061506],"study_design_scores_gemma":[0.00002208433,0.0001222533,0.002328575,0.00001840677,0.00001255554,0.00006397771,0.00007201753,0.9093094,0.08679071,0.000503324,0.0007284977,0.00002836647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809925,0.0006570854,0.01429401,0.00009158401,0.00001971742,0.00002879465,0.0004174061,0.0001036633,0.003395211],"genre_scores_gemma":[0.9958606,0.0002720378,0.003024665,0.000004516061,0.000002315178,0.00002087497,0.00008592036,0.000008765649,0.0007203004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002766983,"threshold_uncertainty_score":0.005501747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02374423085717282,"score_gpt":0.2565872403092147,"score_spread":0.2328430094520419,"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."}}