{"id":"W2007242695","doi":"10.3390/inorganics2030537","title":"Frontiers of Energy Storage and Conversion","year":2014,"lang":"en","type":"article","venue":"Inorganics","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Renewable energy; Energy transformation; Fossil fuel; Energy storage; Process engineering; Efficient energy use; Nanotechnology; Computer science; Environmental science; Engineering; Waste management; Power (physics); Materials science; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00003902185,0.00005135384,0.00008929089,0.00002277513,0.00001037047,0.000004516527,0.00004924358,0.0000301608,0.00003558812],"category_scores_gemma":[0.000009686823,0.00005405395,0.000004490121,0.00002700669,0.00001718673,0.00005283015,0.00002494009,0.00001879744,0.000003785078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001552218,"about_ca_system_score_gemma":0.000001560215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001916857,"about_ca_topic_score_gemma":3.96261e-7,"domain_scores_codex":[0.9997371,0.000009076947,0.00008727593,0.00005265378,0.00004676789,0.00006711533],"domain_scores_gemma":[0.9998444,0.00001097574,0.00001790816,0.00009849228,0.000009147519,0.00001905582],"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":[0.00001888162,0.00002514308,0.006403517,0.0002468411,0.00007541081,0.000002756823,0.0004310475,0.004386789,0.9279381,0.004080466,0.04887573,0.007515297],"study_design_scores_gemma":[0.0007629219,0.0001074242,0.001568812,0.00002590153,0.00002933034,0.00000526347,0.00008248735,0.01428409,0.8418212,0.002149281,0.1388151,0.0003482224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8717687,0.000228565,0.1263439,0.00001330772,0.0009723555,0.00002205324,0.000005562696,0.00007017823,0.0005754114],"genre_scores_gemma":[0.9980177,0.00007053725,0.00175639,0.00005694152,0.00003233056,6.255111e-7,0.000002728301,0.00001460908,0.00004813239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.126249,"threshold_uncertainty_score":0.2204256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004175605539590689,"score_gpt":0.1781500971027027,"score_spread":0.173974491563112,"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."}}