{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000856737,0.0007529372,0.0008804859,0.000968702,0.0004304898,0.0003744128,0.0007379822,0.0006735355,0.003029269],"category_scores_gemma":[0.00191341,0.0003816969,0.0003080228,0.0007882448,0.0003220359,0.0003565635,0.0003545161,0.0006573222,0.00216618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002684923,"about_ca_system_score_gemma":0.0003088064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003800073,"about_ca_topic_score_gemma":0.0007398627,"domain_scores_codex":[0.9989792,0.00009882063,0.0001363907,0.0001858286,0.0005137947,0.00008603503],"domain_scores_gemma":[0.9990367,0.0002061336,0.0001074732,0.0002431054,0.0003512653,0.00005545383],"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":[0.00005359421,0.00002583442,0.0003432431,0.0002159569,0.00001000739,0.0001216512,0.00005404367,0.0002040112,0.9923692,0.0002460204,0.000326357,0.006030028],"study_design_scores_gemma":[0.00001008017,0.000165964,0.001971466,0.00001435258,0.00001612101,0.0002252666,0.00004487801,0.0008531128,0.9851124,0.00009911177,0.01147122,0.00001603792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6430951,0.007998323,0.3047723,0.0006908577,0.0006624528,0.005863477,0.01558628,0.002738695,0.01859251],"genre_scores_gemma":[0.54728,0.007161413,0.4168684,0.0004540895,0.0002508347,0.005976288,0.01006286,0.0004401733,0.01150588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003029269,"threshold_uncertainty_score":0.01013386,"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."}}