{"id":"W4309797343","doi":"10.1149/ma2022-021100mtgabs","title":"On the Optimization of a Photo-Electrode: Interplay of Photoactive and Conductive Materials in a Lithium-Ion Photo-Battery","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Renewable energy; Materials science; Battery (electricity); Nanotechnology; Lithium (medication); Organic radical battery; Cathode; Energy storage; Solar energy; Electricity; Process engineering; Electrochemistry; Electrode; Electrical engineering; Chemistry; Engineering; Power (physics)","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":[0.001069229,0.0001192046,0.0002230328,0.0001050967,0.0001550564,0.00002905574,0.0001765772,0.00003472575,0.0006161634],"category_scores_gemma":[0.0002679586,0.00009953764,0.00002702555,0.0002088282,0.000113417,0.00007746921,0.0001082232,0.0001592916,0.000002179409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005669859,"about_ca_system_score_gemma":0.00005271359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049395,"about_ca_topic_score_gemma":0.00001012671,"domain_scores_codex":[0.9987184,0.0001956619,0.0004240998,0.000271905,0.000211325,0.0001785541],"domain_scores_gemma":[0.9986672,0.000524839,0.0005168743,0.0002116641,0.00005312296,0.00002634396],"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":[0.0001102082,0.0001122185,0.00002896217,0.00001934848,0.000006967416,0.000001155379,0.002202199,0.02466521,0.9727191,0.0000388656,0.00008135471,0.00001439881],"study_design_scores_gemma":[0.0002275133,0.0001154561,0.0004284105,0.00007177671,0.00001117974,0.00001012994,0.001761343,0.0003059965,0.9967231,0.0002292594,0.00002392276,0.00009188917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958738,0.0000356392,0.00000980962,0.0002415474,0.000183093,0.0003902313,0.00009097359,0.00001725612,0.003157645],"genre_scores_gemma":[0.9993194,0.000004565392,0.0003506467,0.00009848995,0.00001823855,0.0001395105,0.000009913442,0.00001479476,0.00004447392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02435921,"threshold_uncertainty_score":0.6746557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680635348450954,"score_gpt":0.2595893459938474,"score_spread":0.2427829925093379,"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."}}