{"id":"W2331998109","doi":"10.1149/1.2992489","title":"Li/CFx Medical Battery Development","year":2008,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Battery (electricity); Isothermal microcalorimetry; Dielectric spectroscopy; Electrical impedance; Energy density; Power density; Power (physics); Electrical engineering; Computer science; Materials science; Engineering physics; Engineering; Chemistry; Physics; Thermodynamics; Physical chemistry; Electrode","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":[0.001061023,0.0009219276,0.0006209728,0.001411782,0.0007025974,0.0007240905,0.001423203,0.0009380226,0.03081759],"category_scores_gemma":[0.0008732895,0.0004202279,0.0004016652,0.0005319666,0.0002727321,0.0007290231,0.0006686899,0.0008989045,0.01490584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004547152,"about_ca_system_score_gemma":0.001065599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006299338,"about_ca_topic_score_gemma":0.001241648,"domain_scores_codex":[0.9993563,0.00004126679,0.00004435614,0.00009848642,0.0004001078,0.0000594756],"domain_scores_gemma":[0.9995841,0.00002845339,0.0000262822,0.00005990738,0.0002403017,0.00006085909],"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":[0.001168261,0.0003577131,0.001337131,0.001583017,0.0000297704,0.001276258,0.0003831843,0.000687952,0.667527,0.006922995,0.044841,0.2738857],"study_design_scores_gemma":[0.0002506005,0.001389892,0.002010002,0.0002023478,0.0000514544,0.006435519,0.00006154839,0.001800467,0.3694511,0.0006948517,0.6176007,0.00005160463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2665014,0.04172103,0.2782534,0.005084148,0.003130991,0.01752784,0.02335631,0.0163065,0.3481184],"genre_scores_gemma":[0.3145962,0.02317837,0.2011093,0.002060976,0.0005582572,0.008335489,0.02245015,0.001566134,0.4261451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03081759,"threshold_uncertainty_score":0.1030951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309279825973448,"score_gpt":0.2476055925404259,"score_spread":0.2245127942806914,"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."}}