{"id":"W2060220362","doi":"10.1103/physreve.72.056302","title":"Surface excess properties from energy transport measurements during water evaporation","year":2005,"lang":"en","type":"article","venue":"Physical Review E","topic":"Fluid Dynamics and Thin Films","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Thermal conduction; Thermodynamics; Convection; Evaporation; Materials science; Thermal; Natural convection; Energy (signal processing); Surface energy; Marangoni effect; Mechanics; 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":[0.0002917481,0.0002379511,0.0002986914,0.0006791202,0.0003373067,0.0004182563,0.0002512146,0.0002240369,0.001312305],"category_scores_gemma":[0.0005649495,0.0001907095,0.0002149273,0.0006323794,0.000248518,0.0006456231,0.0003035039,0.0004476204,0.0003206808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002024811,"about_ca_system_score_gemma":0.00009688231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009375687,"about_ca_topic_score_gemma":0.00102858,"domain_scores_codex":[0.9998516,0.000008768256,0.000008787468,0.00002038585,0.00008040286,0.00002994469],"domain_scores_gemma":[0.9998148,0.0000589628,0.00003027218,0.0000142785,0.00007135628,0.00001028581],"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":[0.0001428591,0.00001093804,0.002900891,0.00006346774,0.000007812978,0.0000670548,0.00008802821,0.0004640274,0.9915949,0.0001189249,0.00007637469,0.0044647],"study_design_scores_gemma":[0.00000632511,0.00008641729,0.01391677,0.000008209865,0.00002110565,0.0001081831,0.0001172826,0.006188031,0.9787229,0.0001142383,0.0006978289,0.00001260352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993637,0.0004284595,0.004040039,0.00001833836,0.000009167312,0.00001185461,0.0003687897,0.00008753708,0.001398892],"genre_scores_gemma":[0.9972842,0.0003120749,0.001273548,0.00001126683,0.000003260785,0.00001817669,0.0004085545,0.00003537545,0.0006536364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001312305,"threshold_uncertainty_score":0.004390121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505603697255904,"score_gpt":0.2246411038991798,"score_spread":0.1995850669266208,"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."}}