{"id":"W2156532571","doi":"10.1017/jfm.2012.209","title":"Dynamical equations for the contact line of an evaporating or condensing sessile drop","year":2012,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Division of Mathematical Sciences; Canada Research Chairs; National Science Foundation","keywords":"Dissipative system; Dissipation; Drop (telecommunication); Mechanics; Condensation; Thermodynamics; Classical mechanics; Physics; Newtonian fluid; Materials science","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":[0.0002496842,0.0003562372,0.0005104425,0.0007634811,0.0004244586,0.0009690837,0.0009424207,0.001207289,0.003796459],"category_scores_gemma":[0.0006623761,0.0002406475,0.0005523239,0.0003190496,0.0007193609,0.0009489476,0.0008088775,0.0009271279,0.0006963786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191088,"about_ca_system_score_gemma":0.0006301963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007784329,"about_ca_topic_score_gemma":0.004471845,"domain_scores_codex":[0.9998271,0.00001862216,0.00001255554,0.00003727517,0.00008591996,0.00001863216],"domain_scores_gemma":[0.9997936,0.00005151116,0.00003656797,0.00001534971,0.00007819528,0.00002477295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009403648,0.0001335795,0.003724946,0.0002111956,0.00003648968,0.001538072,0.0007309364,0.5409939,0.1289638,0.2984364,0.003066642,0.02207011],"study_design_scores_gemma":[0.00002563744,0.00004980704,0.001456688,0.00001459301,0.00001002516,0.0002063706,0.00008766721,0.9730715,0.004158012,0.0159648,0.004915828,0.00003908471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2787389,0.0009875104,0.6702218,0.001233402,0.0002134832,0.0003227334,0.001571566,0.0003254191,0.0463852],"genre_scores_gemma":[0.9151983,0.0007139837,0.03828055,0.0002598164,0.0000745856,0.0003799673,0.0007186947,0.0001133093,0.04426078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007784329,"threshold_uncertainty_score":0.01547807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171859322153319,"score_gpt":0.2895715782460245,"score_spread":0.2478529850244913,"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."}}