{"id":"W4235985260","doi":"10.1149/ma2005-02/26/1022","title":"In-Situ Diagnostic Methods for Water Management in PEM Fuel Cells","year":2006,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proton exchange membrane fuel cell; In situ; Fuel cells; Environmental science; Computer science; Nuclear engineering; Chemistry; Engineering; Chemical engineering","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":[0.0003151366,0.0004149129,0.0003737561,0.0004461539,0.000272132,0.0004860596,0.0007754978,0.0007777691,0.003935977],"category_scores_gemma":[0.0006561023,0.0002580455,0.0001674473,0.0002088184,0.0002294529,0.000900911,0.0002989111,0.0006760065,0.0006676952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002728267,"about_ca_system_score_gemma":0.0001321092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003978604,"about_ca_topic_score_gemma":0.000923072,"domain_scores_codex":[0.9997978,0.00004644044,0.000007477002,0.00003341373,0.00009462129,0.00002023664],"domain_scores_gemma":[0.999801,0.00008473069,0.0000278968,0.00001839454,0.00005663817,0.00001140976],"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":[0.0002683584,0.00006642623,0.0004797393,0.0003344243,0.00001103914,0.00006936418,0.00004384241,0.0004932272,0.9686248,0.0005858525,0.0007410999,0.02828163],"study_design_scores_gemma":[0.00001425218,0.0001167383,0.000564594,0.00001336063,0.00001374619,0.0001188611,0.00004791747,0.005857408,0.9887866,0.0003846176,0.004075078,0.000006809034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6405135,0.02211567,0.314397,0.002198186,0.0009825561,0.0003689188,0.00170622,0.001306921,0.01641092],"genre_scores_gemma":[0.9236008,0.005258389,0.05686599,0.0001948808,0.0001344722,0.0001449921,0.0003652179,0.00009276347,0.01334241],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003935977,"threshold_uncertainty_score":0.01316708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008782829545927497,"score_gpt":0.2470740082342263,"score_spread":0.2382911786882988,"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."}}