{"id":"W2740392570","doi":"","title":"Under Liquid Wetting Dynamics","year":2016,"lang":"en","type":"dissertation","venue":"YorkSpace (York University)","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetting; Coalescence (physics); Drop (telecommunication); Materials science; Wetting transition; Nanotechnology; Drop impact; Mechanics; Chemical physics; Composite material; Mechanical engineering; Chemistry; Physics; Engineering; Astrobiology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001277269,0.0004000343,0.0005221532,0.0005894321,0.0005246524,0.001549065,0.0006869206,0.0007168039,0.009424191],"category_scores_gemma":[0.0006853248,0.0002829649,0.0004989495,0.0002554924,0.000779694,0.001837645,0.001218299,0.0009493727,0.001203598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871148,"about_ca_system_score_gemma":0.0003805856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163905,"about_ca_topic_score_gemma":0.000837226,"domain_scores_codex":[0.9997198,0.00002233592,0.000009870981,0.00009517791,0.00008942279,0.00006339085],"domain_scores_gemma":[0.9997759,0.0000498798,0.00004231783,0.00003598386,0.00006003195,0.00003577756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002329997,0.0002132086,0.006674351,0.0004982445,0.0001033309,0.001832326,0.001025149,0.09093625,0.3239339,0.4799536,0.008917392,0.08567939],"study_design_scores_gemma":[0.00003042966,0.0001913193,0.00709083,0.00003922486,0.00003057954,0.0008686085,0.0002557348,0.8541946,0.04118609,0.0670383,0.02898501,0.00008926341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6451016,0.004632236,0.1788444,0.001266794,0.000692104,0.0002191724,0.00137364,0.001314366,0.1665556],"genre_scores_gemma":[0.9610768,0.001603391,0.009100679,0.0002576489,0.0001218077,0.00009157338,0.0006978109,0.0001546301,0.02689559],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009424191,"threshold_uncertainty_score":0.03152704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261598241165045,"score_gpt":0.2118224169875919,"score_spread":0.1992064345759415,"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."}}