{"id":"W2906301456","doi":"10.1016/j.matpr.2018.10.015","title":"Investigation on Thermo-Physical Properties of Mixed Nano-Refrigerant with CuO based nanoparticles","year":2018,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Nanofluid Flow and Heat Transfer","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refrigerant; Montreal Protocol; LEAPS; Air conditioning; Refrigeration; Ozone layer; Environmental science; Treaty; Global warming; Nanoparticle; Waste management; Ozone; Thermodynamics; Materials science; Nanotechnology; Meteorology; Engineering; Climate change; Business; Geography; Heat exchanger; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001525542,0.0001556792,0.0001503468,0.0001466009,0.0001836415,0.0002217102,0.000190539,0.0002152154,0.0009076858],"category_scores_gemma":[0.0002908669,0.0001428788,0.0001934702,0.0001178744,0.0002009359,0.0003225355,0.0001169963,0.0001821662,0.0001307768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854641,"about_ca_system_score_gemma":0.00009298114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005423884,"about_ca_topic_score_gemma":0.0006869556,"domain_scores_codex":[0.9998568,0.00001866585,0.000007745723,0.00003734029,0.00005515417,0.00002419268],"domain_scores_gemma":[0.9998577,0.0000366495,0.00003221323,0.000009766487,0.00005385746,0.000009795254],"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":[0.0001374546,0.00001054586,0.0002940425,0.00005964243,0.000006146481,0.00005275698,0.00003028241,0.0000977422,0.9983297,0.00007296749,0.00004520555,0.0008635114],"study_design_scores_gemma":[0.000003040093,0.0001184756,0.001373692,0.000002469319,0.00001146581,0.00004939537,0.00003281945,0.00105361,0.9968289,0.000009074389,0.000513519,0.000003497061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977726,0.0005259739,0.0008196174,0.00003410615,0.00001699447,0.000006156082,0.0000396038,0.00001706354,0.0007678272],"genre_scores_gemma":[0.9985206,0.000113969,0.0004749754,0.000009947997,0.000004189922,0.000006941841,0.0000365148,0.000007418685,0.000825449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009076858,"threshold_uncertainty_score":0.003036499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299067597850509,"score_gpt":0.1901449039694281,"score_spread":0.167154227990923,"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."}}