{"id":"W2055604342","doi":"10.1115/imece2010-38949","title":"Methanol Crossover in Direct Methanol Fuel Cells for Portable Applications: Achievements and Challenges","year":2010,"lang":"en","type":"article","venue":"Volume 5: Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Methanol; Methanol fuel; Proton exchange membrane fuel cell; Direct methanol fuel cell; Crossover; Membrane; Materials science; Catalysis; Chemical engineering; Nanotechnology; Fuel cells; Computer science; Chemistry; Engineering; Electrode; Organic chemistry; Artificial intelligence; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007309511,0.0003309832,0.0005633614,0.0002350968,0.0005043256,0.001500566,0.0006112185,0.0007406115,0.001621226],"category_scores_gemma":[0.0006421152,0.0001698368,0.0002503328,0.0005298177,0.0005743623,0.001928623,0.0006652121,0.0007155829,0.0007118973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037726,"about_ca_system_score_gemma":0.0004056231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005680486,"about_ca_topic_score_gemma":0.001104948,"domain_scores_codex":[0.9996817,0.00004149138,0.00001331695,0.000049411,0.0001787819,0.0000353005],"domain_scores_gemma":[0.9998148,0.00007558413,0.00001893917,0.00002000869,0.00005606136,0.00001466177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004440386,0.0004748695,0.003790049,0.002668281,0.00006696718,0.0008203187,0.0003905045,0.008029297,0.4972988,0.01473687,0.002727303,0.4685527],"study_design_scores_gemma":[0.00006584824,0.0009781581,0.00271552,0.0001430124,0.00008321553,0.00146533,0.0004444646,0.008911876,0.9004373,0.006839328,0.07786615,0.00004981743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6575871,0.2515025,0.04173679,0.004740784,0.0003896072,0.00009359557,0.0002002247,0.0002974383,0.04345195],"genre_scores_gemma":[0.844913,0.1277163,0.01491318,0.00024887,0.0003782439,0.00003615369,0.000163847,0.00006866224,0.01156179],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001621226,"threshold_uncertainty_score":0.005423486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030910763090098,"score_gpt":0.216167447458029,"score_spread":0.205858339827128,"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."}}