{"id":"W6948264862","doi":"10.48669/ceid_2021-2","title":"Resource-Efficient Battery Life Cycles – Driving Electric Mobility with the Circular Economy","year":2020,"lang":"en","type":"report","venue":"acatech - Deutsche Akademie der Technikwissenschaften","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung","keywords":"Circular economy; Consumption (sociology); European union; Plan (archaeology); Digital economy; Business model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001198265,0.0004819227,0.0003116083,0.0005335901,0.001005996,0.003229926,0.001229069,0.001435808,0.00974327],"category_scores_gemma":[0.003305531,0.0003049998,0.0005340182,0.0006353096,0.00296929,0.009162719,0.00282157,0.001348846,0.002695266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691193,"about_ca_system_score_gemma":0.001426736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713447,"about_ca_topic_score_gemma":0.00282631,"domain_scores_codex":[0.9995255,0.0001122319,0.00001774513,0.00008731927,0.0001707126,0.00008644942],"domain_scores_gemma":[0.9990253,0.0003101781,0.00009652651,0.0001816493,0.0002950037,0.00009121959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000880079,0.00007574494,0.001216483,0.000366718,0.00002457315,0.0002662415,0.0006565999,0.01431199,0.002919487,0.8908423,0.01949787,0.06973394],"study_design_scores_gemma":[0.00003023216,0.0001004366,0.0006635069,0.0003286363,0.0000155752,0.0003333166,0.0009305019,0.01522683,0.002797693,0.6334882,0.3460328,0.00005223743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1010539,0.01796282,0.2893528,0.05157162,0.002144475,0.0002522287,0.0006883062,0.0009740706,0.5359996],"genre_scores_gemma":[0.8759173,0.01491125,0.04465608,0.003486552,0.0005698085,0.0002105254,0.0003572622,0.0003369699,0.05955425],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.00974327,"threshold_uncertainty_score":0.0325945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01794575018553958,"score_gpt":0.2464202007286831,"score_spread":0.2284744505431435,"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."}}