{"id":"W2800113872","doi":"10.1139/tcsme-2016-0056","title":"DEVELOPMENT OF AN AUTOMATIC MEASUREMENT AND MATCHING MACHINE FOR COLUMNED BATTERY CELLS","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chung Yuan Christian University","keywords":"Battery (electricity); Sorting; Computer science; Matching (statistics); Interface (matter); Mechanism (biology); Control (management); Computer hardware; Automotive engineering; Artificial intelligence; Engineering; Operating system; Algorithm","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007243448,0.0005642561,0.0008258286,0.0009024962,0.0004910479,0.0007331976,0.001972041,0.0008596972,0.003772002],"category_scores_gemma":[0.002251153,0.0004956472,0.0003240754,0.0007871587,0.0003620188,0.001375028,0.0005951506,0.000666668,0.001130728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003785915,"about_ca_system_score_gemma":0.0009702885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593999,"about_ca_topic_score_gemma":0.001051148,"domain_scores_codex":[0.9989548,0.00009288407,0.00008268304,0.0002467358,0.000558517,0.00006440172],"domain_scores_gemma":[0.9981135,0.0005235049,0.0001557084,0.000308731,0.0008260596,0.00007241505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002384141,0.0001894399,0.003769758,0.0004154191,0.00004468453,0.0001648291,0.0002096526,0.01073554,0.3996307,0.003970748,0.00458147,0.5760493],"study_design_scores_gemma":[0.0001422237,0.001033179,0.009915182,0.00007275502,0.0001199073,0.0009085851,0.0001563667,0.447957,0.4922641,0.002288342,0.04494925,0.0001931102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03234494,0.0002050745,0.9576079,0.0001041653,0.0001286191,0.0002593223,0.0001198429,0.007644084,0.001586086],"genre_scores_gemma":[0.2566268,0.0001729388,0.7385135,0.0001814553,0.00005580081,0.0002970563,0.0003562919,0.0002787913,0.003517362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003772002,"threshold_uncertainty_score":0.01261854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455101575103663,"score_gpt":0.2231746248246835,"score_spread":0.1986236090736469,"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."}}