{"id":"W2000427033","doi":"10.1016/j.foodres.2010.05.009","title":"Electrical conductivity of particle–fluid mixtures in ohmic heating: Measurement and simulation","year":2010,"lang":"en","type":"article","venue":"Food Research International","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ohmic contact; Joule heating; Electrical resistivity and conductivity; Thermal conductivity; Conductivity; Thermodynamics; Chemistry; Analytical Chemistry (journal); Materials science; Chromatography; Composite material; Electrode; Physics; Physical 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":[0.0004764046,0.0002684281,0.0003885842,0.0002764817,0.0003813768,0.0005452327,0.0004940858,0.001048121,0.0009951171],"category_scores_gemma":[0.001464117,0.0003069045,0.0003843403,0.0003286259,0.001074798,0.0009956089,0.0003183093,0.0005419165,0.000152435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005316077,"about_ca_system_score_gemma":0.0003469616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911453,"about_ca_topic_score_gemma":0.0008329814,"domain_scores_codex":[0.9998404,0.00003878504,0.000007147631,0.00003268097,0.0000491164,0.00003189518],"domain_scores_gemma":[0.9993143,0.0005039439,0.00004054661,0.0000614501,0.00006074479,0.00001907628],"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":[0.0004553334,0.0002092825,0.002724837,0.0001121094,0.00002315257,0.0002327614,0.000307958,0.9034662,0.07912734,0.005463312,0.000447062,0.00743053],"study_design_scores_gemma":[0.00002884036,0.0000591271,0.000744512,0.000004362677,0.000005573609,0.00001994112,0.00002352777,0.9776092,0.02056803,0.0006055516,0.0003211055,0.00001023818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935578,0.0003641466,0.0545017,0.0003326475,0.00005473199,0.0000659479,0.0001671137,0.0001995741,0.008736081],"genre_scores_gemma":[0.9972894,0.0000551171,0.001690517,0.00001550129,0.000004922744,0.00001927913,0.0000283,0.00001040783,0.000886549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001911453,"threshold_uncertainty_score":0.003857136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296453195922453,"score_gpt":0.4363428899727986,"score_spread":0.3066975703805532,"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."}}