{"id":"W1642673740","doi":"10.1109/intlec.1993.388486","title":"Computerized test equipment for stationary batteries","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"STMicroelectronics (Canada)","funders":"","keywords":"Battery (electricity); Service life; Service (business); Reliability engineering; Test (biology); Computer science; Lead–acid battery; Embedded system; 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":[0.001267892,0.0006978289,0.0008806825,0.002507715,0.0005770769,0.001007228,0.002989247,0.0009089659,0.05800369],"category_scores_gemma":[0.009729698,0.0003635466,0.0004208583,0.002529945,0.0004829022,0.001680052,0.001282807,0.000727714,0.0104886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005446045,"about_ca_system_score_gemma":0.001069039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001477255,"about_ca_topic_score_gemma":0.001334812,"domain_scores_codex":[0.9983153,0.0002404844,0.0001979592,0.000197494,0.0009814565,0.00006728449],"domain_scores_gemma":[0.99277,0.002973666,0.0003882239,0.001207729,0.002490786,0.0001696918],"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":[0.0007947813,0.0004831954,0.008877578,0.00201433,0.00007722836,0.001297221,0.0005523082,0.01045976,0.2627056,0.01925495,0.05958578,0.6338974],"study_design_scores_gemma":[0.0004959608,0.004125548,0.03333754,0.0008613596,0.0003662531,0.009263665,0.0004605665,0.06451732,0.4214075,0.01144965,0.4534558,0.0002588728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06414486,0.002303728,0.8498646,0.0007237342,0.001072828,0.002304473,0.005917775,0.02303783,0.05063015],"genre_scores_gemma":[0.3644536,0.003340113,0.5369825,0.001436203,0.0005670688,0.005672724,0.01338387,0.002506383,0.07165765],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05800369,"threshold_uncertainty_score":0.1940417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02127845412387801,"score_gpt":0.2824382042451689,"score_spread":0.2611597501212909,"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."}}