{"id":"W1887052680","doi":"10.1109/intlec.2000.884251","title":"Lithium polymer battery in warm environment","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Argo; Battery (electricity); Lead–acid battery; Computer science; Telecommunications; Electrical engineering; Environmental science; Engineering; Automotive engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001589063,0.0003100315,0.0004948857,0.0002966701,0.0006312573,0.0008608051,0.0004364307,0.0005162307,0.003816234],"category_scores_gemma":[0.0001703226,0.0001355115,0.0002207829,0.0002605481,0.0003877009,0.001555948,0.001001052,0.0005358505,0.00277384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384643,"about_ca_system_score_gemma":0.0001937029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006429143,"about_ca_topic_score_gemma":0.001163136,"domain_scores_codex":[0.9998236,0.00002329625,0.000006826228,0.00002815415,0.00008021871,0.00003792717],"domain_scores_gemma":[0.9999436,0.000010428,0.000007371963,0.000005905185,0.00001835588,0.00001428327],"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":[0.0006176557,0.0001140418,0.001137475,0.0007459113,0.00003493916,0.001855687,0.0005649237,0.004694996,0.8288588,0.01393742,0.01250214,0.1349359],"study_design_scores_gemma":[0.00008712311,0.00122025,0.002403336,0.0001482377,0.00007803777,0.003065481,0.0005283128,0.00749705,0.7540921,0.006269299,0.2245047,0.0001061308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5836257,0.06769937,0.1156635,0.004683494,0.001617912,0.000210562,0.0005613971,0.004798043,0.22114],"genre_scores_gemma":[0.7888573,0.01829813,0.0101837,0.0008168792,0.0003707855,0.0000760813,0.0002588273,0.0002139485,0.1809242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003816234,"threshold_uncertainty_score":0.0127666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800208403716083,"score_gpt":0.2142917214362292,"score_spread":0.1962896373990683,"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."}}