{"id":"W3199011047","doi":"","title":"Modeling and synchrotron imaging of droplet detachment in gas channels of polymer electrolyte fuel cells","year":2018,"lang":"en","type":"article","venue":"RWTH Publications (RWTH Aachen)","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Inlet; Synchrotron; Mechanics; Contact angle; Electrolyte; Channel (broadcasting); Flow (mathematics); Phase (matter); Two-phase flow; Diffusion; Materials science; Volume (thermodynamics); Gaseous diffusion; Chemistry; Fuel cells; Optics; Thermodynamics; Composite material; Mechanical engineering; Chemical engineering; Physics; Electrical engineering; Engineering; Electrode","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002606741,0.0001688708,0.0002761858,0.0003552184,0.00003961132,0.00003605725,0.0001702646,0.00009577341,0.00009397859],"category_scores_gemma":[0.0000135001,0.000165994,0.00004474543,0.0003824623,0.00008120374,0.0002325521,0.00005133777,0.0001267503,0.00001272351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005053976,"about_ca_system_score_gemma":0.00003751105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001199862,"about_ca_topic_score_gemma":0.00001319421,"domain_scores_codex":[0.9987732,0.00003187152,0.0005021404,0.0002183056,0.0001422493,0.0003322865],"domain_scores_gemma":[0.9993837,0.00002541075,0.00008361028,0.0003142566,0.000110179,0.00008283592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003229859,0.0002282582,0.001153999,0.00137454,0.0001591219,0.000001252354,0.002002553,0.03849924,0.9512885,0.00257735,0.0003960886,0.00228682],"study_design_scores_gemma":[0.0005403832,0.00005231499,0.0001443154,0.00008630522,0.00004550377,0.00000628246,0.00006297659,0.6724406,0.3253228,0.0004938002,0.0005687733,0.0002359156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723495,0.01107836,0.006960453,0.0004235395,0.0003576641,0.0004699709,0.00003603158,0.0001740156,0.0081505],"genre_scores_gemma":[0.9979107,0.0009106769,0.0008649333,0.00002168694,0.00008388703,0.00004139279,0.00002162811,0.00003685629,0.0001081845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6339414,"threshold_uncertainty_score":0.6769037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006334752700209519,"score_gpt":0.2085558253313932,"score_spread":0.2022210726311837,"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."}}