{"id":"W4253540109","doi":"10.1149/ma2011-02/16/990","title":"Diagnostic Tools for Stack Performance and Degradation","year":2011,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"Stack (abstract data type); Degradation (telecommunications); Computer science; Operating system; Telecommunications","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":[0.001128982,0.001640633,0.000855791,0.004869349,0.0004271191,0.001312133,0.001460954,0.001567019,0.01976398],"category_scores_gemma":[0.004846718,0.0003812129,0.0006748063,0.001210914,0.0003976737,0.001587089,0.0007254629,0.000893335,0.005544349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004748079,"about_ca_system_score_gemma":0.0004846486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270749,"about_ca_topic_score_gemma":0.001441973,"domain_scores_codex":[0.9993488,0.00006734856,0.00004966445,0.00009176006,0.0003631023,0.00007926984],"domain_scores_gemma":[0.9980331,0.0005803938,0.0003357143,0.0002983545,0.0006666207,0.00008579427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001493356,0.0004077445,0.01797917,0.00155369,0.000211543,0.001860464,0.0002023989,0.01186132,0.3724408,0.006650365,0.03826163,0.5470776],"study_design_scores_gemma":[0.0002332711,0.001442046,0.03260292,0.00059512,0.0004768158,0.004888592,0.000331034,0.1994097,0.6965859,0.01153145,0.0516305,0.0002726486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2502353,0.01562384,0.5970411,0.002885724,0.00159864,0.001088041,0.02789381,0.05409596,0.04953752],"genre_scores_gemma":[0.8263768,0.002431903,0.1504402,0.0003832009,0.0002021202,0.000382985,0.005947827,0.0006683665,0.01316649],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01976398,"threshold_uncertainty_score":0.06611711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034264146843936,"score_gpt":0.2299714224699315,"score_spread":0.1796287810014922,"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."}}