{"id":"W626398706","doi":"10.1016/j.physleta.2015.06.010","title":"Viscosity of magnetite–toluene nanofluids: Dependence on temperature and nanoparticle concentration","year":2015,"lang":"en","type":"article","venue":"Physics Letters A","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Iowa State University; National Science Foundation","keywords":"Nanofluid; Viscosity; Dispersity; Thermodynamics; Nanoparticle; Magnetite; Particle (ecology); Toluene; Particle size; Chemical engineering; Physics; Materials science; Nanotechnology; Chemistry; Organic chemistry; Polymer chemistry","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":[0.000199348,0.0001701225,0.0001488826,0.0002596678,0.000201395,0.0003500201,0.000199326,0.0002053904,0.001026143],"category_scores_gemma":[0.0009035703,0.0001929405,0.0001642476,0.0001630474,0.0003009823,0.0003040414,0.0001364085,0.0004812163,0.0001494765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004960913,"about_ca_system_score_gemma":0.000215061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002037082,"about_ca_topic_score_gemma":0.001775401,"domain_scores_codex":[0.9998732,0.00001738881,0.000008780821,0.00002641062,0.00003954912,0.00003466902],"domain_scores_gemma":[0.9995614,0.0002026127,0.0001032434,0.00002025181,0.00007085207,0.00004169351],"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":[0.0004927611,0.00003795971,0.001040627,0.0000325913,0.00001103677,0.00006918693,0.0001171154,0.0005485372,0.9955748,0.0002254484,0.000125372,0.001724611],"study_design_scores_gemma":[0.00001459886,0.0001192348,0.005385319,0.000005132969,0.00001187885,0.0000383296,0.0000332746,0.008266763,0.9856167,0.00004879221,0.0004457337,0.00001420859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970281,0.0002737692,0.001398775,0.00008718419,0.00001754638,0.000005011571,0.0001437868,0.00004261672,0.001003169],"genre_scores_gemma":[0.9985392,0.00008770399,0.0004733435,0.00001544082,0.000007102015,0.000004590713,0.0001417609,0.00001715996,0.0007136972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002037082,"threshold_uncertainty_score":0.004050493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122376715901173,"score_gpt":0.2010349770310296,"score_spread":0.1887973054409123,"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."}}