{"id":"W2314115803","doi":"10.1149/1.2729078","title":"Stack Testing Summary - Versa Power Systems","year":2007,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Imperial College London; U.S. Department of Energy; U.S. Department of Defense","keywords":"Stack (abstract data type); Engineering; Power (physics); Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007736436,0.0008903061,0.0004538372,0.001508633,0.0008044783,0.001064806,0.001158592,0.0005568051,0.08546815],"category_scores_gemma":[0.001459135,0.0002755394,0.000313504,0.0008526605,0.000196057,0.001102382,0.0006277284,0.0005267946,0.02002657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000495595,"about_ca_system_score_gemma":0.0007789284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002712046,"about_ca_topic_score_gemma":0.006529592,"domain_scores_codex":[0.9985874,0.0001643675,0.00008143758,0.0001064898,0.0009690424,0.00009143743],"domain_scores_gemma":[0.9984963,0.0001286358,0.00005518554,0.0001634866,0.001090014,0.00006640706],"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":[0.0009701111,0.0003714091,0.01176687,0.001008225,0.00007563378,0.0009806879,0.0003306199,0.003267277,0.08559229,0.0081177,0.3654938,0.5220253],"study_design_scores_gemma":[0.0001076256,0.001399638,0.01261939,0.0001340633,0.00008071295,0.001201324,0.0003276984,0.005716756,0.1450074,0.002488564,0.8308421,0.00007474672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.1214224,0.002316606,0.08096222,0.002313326,0.001629035,0.0023399,0.03314906,0.017097,0.7387705],"genre_scores_gemma":[0.5138323,0.001465244,0.04537959,0.001306131,0.0004862143,0.0007456476,0.0409252,0.00326847,0.3925913],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.08546815,"threshold_uncertainty_score":0.2859194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833048265761683,"score_gpt":0.2775668779461075,"score_spread":0.2492363952884907,"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."}}