{"id":"W2072777092","doi":"10.1016/j.ijheatfluidflow.2007.02.004","title":"Temperature and particle-size dependent viscosity data for water-based nanofluids – Hysteresis phenomenon","year":2007,"lang":"en","type":"article","venue":"International Journal of Heat and Fluid Flow","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":948,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; Les Laboratories Pierre Fabre; Université de Moncton","keywords":"Nanofluid; Materials science; Viscosity; Viscometer; Particle size; Thermodynamics; Particle (ecology); Hysteresis; Heat transfer; Nanoparticle; Composite material; Nanotechnology; Chemical engineering; Physics; Condensed matter 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":[0.0001935427,0.0002017549,0.000177636,0.0004574912,0.0002034105,0.0001145797,0.0003024733,0.0002435396,0.002148977],"category_scores_gemma":[0.0005724216,0.0001427252,0.0002532153,0.0003327892,0.000271397,0.0003860112,0.0001534276,0.0004848123,0.0002680135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743835,"about_ca_system_score_gemma":0.00008107944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006618986,"about_ca_topic_score_gemma":0.0005721934,"domain_scores_codex":[0.9998786,0.000008919531,0.00001117036,0.00002740699,0.00004864577,0.00002519559],"domain_scores_gemma":[0.9993618,0.0002621299,0.0001425838,0.00005811119,0.0001362105,0.00003917948],"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":[0.0003885507,0.00003151088,0.001493351,0.00006034418,0.000009872915,0.00006482295,0.00009256759,0.0005182032,0.9943318,0.0001471601,0.0001520116,0.002709733],"study_design_scores_gemma":[0.000006523584,0.0001234998,0.009072442,0.000002788162,0.00001042618,0.00007923204,0.00002311319,0.002896558,0.9872916,0.00004608826,0.0004386472,0.000009151173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955419,0.0004088476,0.002405535,0.00003029226,0.00001478852,0.000009911323,0.0003839491,0.000105188,0.001099514],"genre_scores_gemma":[0.9983476,0.0001050539,0.0007805051,0.000008263991,0.00000422846,0.00001039042,0.0003172227,0.00001892373,0.000407774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002148977,"threshold_uncertainty_score":0.007189095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480085755732188,"score_gpt":0.2471635096607862,"score_spread":0.2323626521034643,"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."}}