{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001882783,0.0004477145,0.0003494874,0.001158755,0.0007681484,0.001691959,0.0005062613,0.0008807942,0.09438603],"category_scores_gemma":[0.0003336431,0.0002762006,0.0002958674,0.0005947783,0.0005961822,0.001292786,0.001388022,0.0009962179,0.02647446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007129194,"about_ca_system_score_gemma":0.0005814548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005085492,"about_ca_topic_score_gemma":0.0009265738,"domain_scores_codex":[0.999762,0.00001269049,0.000009797847,0.00003813736,0.000151506,0.00002596163],"domain_scores_gemma":[0.9998925,0.00001436855,0.0000073622,0.00002618724,0.00004503156,0.00001456571],"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":[0.000166001,0.0001277572,0.0007667178,0.0009749432,0.00004893371,0.000397781,0.0001459292,0.0005443764,0.1274494,0.3310442,0.1631326,0.3752014],"study_design_scores_gemma":[0.00001466747,0.00005577157,0.001151369,0.0001300207,0.00001919052,0.0004495478,0.000131633,0.0009750556,0.06260479,0.02724176,0.9072101,0.00001622548],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01319324,0.01482694,0.01309711,0.005717561,0.007284197,0.0001622092,0.001189076,0.0005758742,0.9439538],"genre_scores_gemma":[0.1355784,0.01447428,0.01229458,0.002844492,0.001767318,0.0002128409,0.001152542,0.0003196833,0.8313559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09438603,"threshold_uncertainty_score":0.3157527,"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."}}