{"id":"W4391543952","doi":"10.1021/acs.langmuir.3c03343","title":"Nanofluid Drop Impact on Heated Surfaces","year":2024,"lang":"en","type":"article","venue":"Langmuir","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Nanofluid; Leidenfrost effect; Wetting; Boiling; Nanoparticle; Ethylene glycol; Drop (telecommunication); Materials science; Chemical engineering; Boiling point; Nanotechnology; Chemistry; Thermodynamics; Composite material; Heat transfer; Nucleate boiling; Heat transfer coefficient; Organic 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":[0.0001165368,0.0004249928,0.000369207,0.0002144307,0.0003208227,0.00036547,0.0003233196,0.0003852597,0.002115047],"category_scores_gemma":[0.0002876771,0.0002085655,0.0003681628,0.0001924399,0.0003918929,0.0004764434,0.000476255,0.0005677801,0.0002829282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005425911,"about_ca_system_score_gemma":0.0002044767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219401,"about_ca_topic_score_gemma":0.0009825119,"domain_scores_codex":[0.9997504,0.000009923991,0.0000084136,0.00004842265,0.0001022167,0.00008053039],"domain_scores_gemma":[0.999862,0.00004817838,0.00003279088,0.00001261022,0.00002896123,0.00001551187],"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":[0.00004494272,0.0000157548,0.0002392653,0.0000286796,0.000003860402,0.0001184259,0.00006466754,0.0003809531,0.9981712,0.00009412195,0.00003656473,0.0008015211],"study_design_scores_gemma":[0.00001004701,0.0001269244,0.002346808,0.000003924708,0.000005934995,0.00003856993,0.00003991149,0.005828332,0.9912049,0.00005527697,0.0003326676,0.00000670951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961303,0.000162961,0.001995979,0.00003503342,0.0000169363,0.00002701694,0.0001066065,0.00006874619,0.001456285],"genre_scores_gemma":[0.9965795,0.0001789436,0.001693909,0.00004210448,0.000007902918,0.00002885402,0.0001360418,0.00003206786,0.001300745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002115047,"threshold_uncertainty_score":0.007075489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00554047146414178,"score_gpt":0.2278320776008213,"score_spread":0.2222916061366795,"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."}}