{"id":"W4396584254","doi":"10.1016/j.energy.2024.131503","title":"Micro/nano energy","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Nanotechnology research and applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Nano-; Energy (signal processing); Materials science; Nanotechnology; Engineering; Environmental science; Engineering physics; Physics; Composite material","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":[0.00002259848,0.00005957387,0.00005022062,0.0001128681,0.00004556233,0.00002286363,0.0001368151,0.00004801953,0.00007127697],"category_scores_gemma":[0.00000156019,0.00005944288,0.00003030447,0.0002899242,0.00002373422,0.00002591315,0.00003902455,0.00008432945,0.00008267586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003302295,"about_ca_system_score_gemma":0.00001648003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003623146,"about_ca_topic_score_gemma":0.00002004863,"domain_scores_codex":[0.999589,0.000005375161,0.00006211405,0.0001052183,0.00006057225,0.0001777558],"domain_scores_gemma":[0.9997826,0.00001719102,0.000002027399,0.0001538232,0.000006361126,0.00003802761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[8.823695e-7,0.00000938423,0.000001958956,0.00001099231,0.0000389817,0.00002407296,0.00001140286,0.002554374,0.4792411,0.3019598,0.1171637,0.09898338],"study_design_scores_gemma":[0.00002481773,0.000006448649,0.000001194265,0.000004042881,0.000001688078,0.00001276079,0.000003948969,0.009244522,0.2262023,0.004701233,0.7597404,0.00005667936],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07489562,0.1077321,0.6286921,0.006593348,0.002598589,0.0001536506,0.0001884426,0.01359523,0.1655509],"genre_scores_gemma":[0.9903727,0.0003064026,0.0003094668,0.0000569916,0.0001081534,0.0001153039,0.0000171373,0.00002510479,0.008688694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9154771,"threshold_uncertainty_score":0.242401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005025680457117942,"score_gpt":0.2128173405570087,"score_spread":0.2077916600998908,"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."}}