{"id":"W2314724060","doi":"10.1149/1.3242365","title":"Preparation and Characterization of DMFC Electrodes and MEAs","year":2009,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Materials science; Electrode; Anode; Nafion; Catalysis; Chemical engineering; Membrane; Characterization (materials science); Layer (electronics); Composite material; Ionomer; Electrochemistry; Nanotechnology; Chemistry; Polymer; Organic 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002268223,0.00004727671,0.00006974642,0.00003577226,0.00003319791,0.00001531841,0.000008239956,0.00002985213,0.000007924716],"category_scores_gemma":[0.000001043233,0.00004914472,0.000009266331,0.00004352359,0.00001014421,0.00008851316,1.976694e-7,0.00002113374,5.625885e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005226343,"about_ca_system_score_gemma":0.000002275974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002628329,"about_ca_topic_score_gemma":0.000004733879,"domain_scores_codex":[0.999764,0.000007051547,0.00008816233,0.00005374657,0.00003049552,0.00005650107],"domain_scores_gemma":[0.9999114,0.000005180451,0.00001106665,0.00004061529,0.00001256961,0.00001912676],"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":[0.000005875662,0.000006556612,0.00001335784,0.00001014961,0.000005807406,1.349086e-7,0.0003364902,0.00064568,0.9968784,0.00002961213,0.00000176771,0.002066136],"study_design_scores_gemma":[0.0001634915,0.00008224597,0.04834477,0.00001412031,0.00002721495,0.00001709516,0.00001512227,0.013629,0.9371879,0.0001027695,0.0003278176,0.00008850883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869562,0.00004191401,0.01259217,0.00005895901,0.00005795036,0.00005588132,0.000005487849,0.0000695634,0.0001618192],"genre_scores_gemma":[0.9993701,0.0002076672,0.0003650733,0.000005156457,0.00001488078,7.838796e-7,0.000005322677,0.000005086149,0.00002592504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05969059,"threshold_uncertainty_score":0.2004063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005348027764393239,"score_gpt":0.1973643605691117,"score_spread":0.1920163328047185,"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."}}