{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005333267,0.0001075466,0.0001051236,0.0001329017,0.0001697822,0.000006605214,0.000218399,0.000127612,0.001658033],"category_scores_gemma":[0.00001670732,0.0001098624,0.0000359465,0.0002362469,0.00009514082,0.0001204759,0.000007915683,0.0004406218,0.0004226519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069316,"about_ca_system_score_gemma":0.00006097251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001639114,"about_ca_topic_score_gemma":0.00001767346,"domain_scores_codex":[0.9990633,0.000007874171,0.0001678695,0.0001330166,0.0003296552,0.0002982898],"domain_scores_gemma":[0.9996125,0.00005696796,0.000005716357,0.0002014133,0.00001910982,0.0001043376],"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":[0.00002422001,0.0004975363,0.001663222,0.0002646629,0.0005298809,0.001307269,0.00244561,0.2312642,0.0124731,0.0001062767,0.02403497,0.725389],"study_design_scores_gemma":[0.001131984,0.00006487035,0.01077741,0.00009631523,0.00001470412,0.001034842,0.0002750441,0.03880694,0.2009613,0.0001990635,0.7456221,0.001015467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1072585,0.0001404023,0.8859099,0.0005646187,0.0002870719,0.00009711303,0.000004402811,0.001399475,0.004338573],"genre_scores_gemma":[0.9906315,0.0003400486,0.008078557,0.00005121414,0.00003168519,0.0000733635,0.000003734982,0.00003104434,0.0007588731],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.883373,"threshold_uncertainty_score":0.9992546,"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."}}