{"id":"W2010097081","doi":"10.1149/1.3210716","title":"In-situ Diagnostics for Cell Performance and Degradation","year":2009,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada)","funders":"Ballard Power Systems","keywords":"Degradation (telecommunications); Stack (abstract data type); Crossover; Materials science; In situ; Voltage; Biological system; Computer science; Electronic engineering; Nuclear engineering; Chemistry; Engineering; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001863588,0.0003312767,0.0003067661,0.0002813567,0.0002842365,0.0003617768,0.000374679,0.0003147982,0.001608816],"category_scores_gemma":[0.0003697985,0.0001310857,0.0001089784,0.0002128512,0.0002068139,0.0003320691,0.0002434776,0.0003763524,0.0003015372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002307552,"about_ca_system_score_gemma":0.000116116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006531678,"about_ca_topic_score_gemma":0.001233037,"domain_scores_codex":[0.9998093,0.00002225797,0.000008326925,0.00004158082,0.00007492324,0.00004354039],"domain_scores_gemma":[0.9997334,0.00008337731,0.00004017999,0.00003728661,0.00008520986,0.00002051048],"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":[0.00004072321,0.00001500809,0.001092253,0.00002134734,0.000002610904,0.00003381467,0.0000456567,0.000127194,0.9968844,0.00003370102,0.00004002844,0.001663211],"study_design_scores_gemma":[0.00000143918,0.00009673399,0.001981511,0.000001224378,0.000005695129,0.00007771268,0.00004249233,0.001300806,0.9961128,0.00002414884,0.0003526077,0.000002991715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881379,0.0004074955,0.0101324,0.00004550089,0.00001615367,0.0000130657,0.0002393181,0.0001508875,0.0008573149],"genre_scores_gemma":[0.9964372,0.0001489257,0.002542001,0.00001110632,0.000004270964,0.000009658217,0.000092584,0.00001616676,0.0007379833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001608816,"threshold_uncertainty_score":0.005382061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009813365259881331,"score_gpt":0.2064932686559144,"score_spread":0.1966799033960331,"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."}}