{"id":"W4307901015","doi":"10.1016/j.ijft.2022.100238","title":"Refractive index and temperature coefficient of refractive index of Al2O3- and SiO2-water nanofluids","year":2022,"lang":"en","type":"article","venue":"International Journal of Thermofluids","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nanofluid; Refractive index; Materials science; Atmospheric temperature range; Interferometry; Optics; Analytical Chemistry (journal); Thermodynamics; Chemistry; Nanotechnology; Chromatography; Nanoparticle; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003062327,0.0001332924,0.0002797755,0.0001860358,0.00008490015,0.00002682415,0.0001950474,0.00003454871,0.0002077574],"category_scores_gemma":[0.0000106442,0.0001015278,0.0001006554,0.00006104644,0.0001190501,0.0001601253,0.000239293,0.0003323341,3.10972e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006468417,"about_ca_system_score_gemma":0.00006705253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007716279,"about_ca_topic_score_gemma":5.047977e-7,"domain_scores_codex":[0.9987007,0.00008546349,0.0004393412,0.0001383581,0.0005159351,0.000120171],"domain_scores_gemma":[0.9987911,0.00008706114,0.0003925661,0.00009122392,0.0005803285,0.0000577225],"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":[0.001583331,0.0005323235,0.02923199,0.00001034337,0.00136914,0.00004060896,0.005500293,0.001083684,0.9447448,0.006701077,0.000403348,0.008799022],"study_design_scores_gemma":[0.01398871,0.004057594,0.1720091,0.0007192168,0.000416271,0.0006339811,0.04619122,0.008422412,0.6845036,0.04205047,0.02552724,0.001480214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958512,0.0002476543,0.001750097,0.0003631128,0.0003359374,0.00007520906,0.00008494763,0.000001683402,0.001290172],"genre_scores_gemma":[0.9993766,0.00002008127,0.0002042271,0.00005492541,0.0001671779,0.000001372007,0.000008410431,0.00001581095,0.0001513942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2602413,"threshold_uncertainty_score":0.4140185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006166023819350615,"score_gpt":0.2417435160126044,"score_spread":0.2355774921932537,"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."}}