{"id":"W2551954969","doi":"10.1016/j.jcis.2016.11.038","title":"Impact of particle-laden drops: Particle distribution on the substrate","year":2016,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Fluid Dynamics and Heat Transfer","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Belgian Federal Science Policy Office; Transport Canada","keywords":"Wetting; Particle (ecology); Materials science; Suspension (topology); Particle size; Monolayer; Reynolds number; Substrate (aquarium); Contact angle; Drop (telecommunication); Chemical engineering; Composite material; Nanotechnology; Mechanics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004155939,0.00005811253,0.00009497185,0.00001984982,0.00005196445,0.0000404005,0.0001532392,0.00001544198,0.0000302834],"category_scores_gemma":[0.00004428523,0.00002633858,0.00004843528,0.0001796301,0.0002185557,0.0002453204,0.000009516428,0.00006676883,0.000003711663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006616557,"about_ca_system_score_gemma":0.00004776104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003085921,"about_ca_topic_score_gemma":0.000002496309,"domain_scores_codex":[0.9993952,0.00001089682,0.0002038348,0.00005327156,0.0001843331,0.0001524748],"domain_scores_gemma":[0.9996513,0.00005698075,0.00002961116,0.00008127993,0.0001007407,0.00008015257],"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":[0.00003183547,0.00001739,0.00395068,0.00000299092,0.00001137252,2.858914e-7,0.0001222455,0.001539237,0.991306,0.002507086,0.0001179153,0.0003929467],"study_design_scores_gemma":[0.0004154772,0.0007431931,0.1093832,0.0001457388,0.00001100047,0.00002200904,0.00007139869,0.04361077,0.8451306,0.0003324212,0.00005714517,0.00007708855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950973,0.0001325152,0.004108871,0.0003894552,0.0001040528,0.00003727109,0.00001105435,0.000005321295,0.0001141915],"genre_scores_gemma":[0.999768,0.0001625655,0.00001194842,0.000005931394,0.0000164495,4.667813e-7,2.259481e-8,0.000003261071,0.00003130679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1461755,"threshold_uncertainty_score":0.1074056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089545732434055,"score_gpt":0.2507291076959136,"score_spread":0.239833650371573,"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."}}