{"id":"W4232935745","doi":"10.1149/ma2009-02/10/1080","title":"In-situ Diagnostics for Cell Performance and Degradation","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"In situ; Degradation (telecommunications); Computer science; Environmental science; Geography; Telecommunications; Meteorology","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":[0.0004955537,0.0009116612,0.0005087917,0.0002999267,0.0004282084,0.0004407315,0.0007542583,0.0008533648,0.02001248],"category_scores_gemma":[0.0005981501,0.0003004971,0.0003606672,0.0002815897,0.0002467849,0.0005624179,0.0002835215,0.0009597313,0.00402794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331861,"about_ca_system_score_gemma":0.000260088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007785269,"about_ca_topic_score_gemma":0.001821288,"domain_scores_codex":[0.9995965,0.00006303882,0.00002040814,0.00008914077,0.000166876,0.00006406379],"domain_scores_gemma":[0.9996324,0.0001430703,0.00003888054,0.00007933818,0.00007809987,0.00002828523],"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":[0.00008157489,0.00002850581,0.0000658116,0.0001519076,0.000004441488,0.0000274081,0.000009920385,0.00002475698,0.9940754,0.0001956613,0.0009369575,0.004397699],"study_design_scores_gemma":[0.000007723796,0.0001291088,0.0004789064,0.000009951546,0.00001442203,0.00009938329,0.00001229117,0.0002370528,0.9917974,0.00008512905,0.00712485,0.000003773155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.572747,0.03924911,0.2630657,0.00396696,0.005543715,0.001162641,0.01374622,0.003816034,0.09670254],"genre_scores_gemma":[0.8410323,0.01178869,0.05717905,0.0006317614,0.0003433799,0.0006361793,0.005299111,0.0004116851,0.08267783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001248,"threshold_uncertainty_score":0.06694835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008755447996789512,"score_gpt":0.2540125041849247,"score_spread":0.2452570561881352,"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."}}