{"id":"W2790087632","doi":"10.1016/b978-0-12-809597-3.00325-4","title":"3.10 Electrochemical Energy Production","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced battery technologies research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrochemistry; Electrochemical energy conversion; Faraday cage; Laws of thermodynamics; Production (economics); Capacitor; Energy (signal processing); Nernst equation; Second law of thermodynamics; Thermodynamics; Materials science; Engineering physics; Process engineering; Engineering; Electrical engineering; Chemistry; Physics; Electrode; Voltage; Physical chemistry","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":[0.000162162,0.0007874265,0.0004384757,0.001087534,0.0007149357,0.002880196,0.0008913845,0.001199857,0.08525607],"category_scores_gemma":[0.000252802,0.0004682375,0.0007529868,0.001074159,0.0006241169,0.001924583,0.001214408,0.0021106,0.05052058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001100429,"about_ca_system_score_gemma":0.0005907853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102794,"about_ca_topic_score_gemma":0.001837006,"domain_scores_codex":[0.9997845,0.000008823112,0.000008017385,0.00003988839,0.0001395568,0.00001925161],"domain_scores_gemma":[0.9999464,0.00001074462,0.000002444854,0.00001025678,0.00002523137,0.000004831517],"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":[0.00005184988,0.0001044286,0.0001279128,0.001032309,0.00001371493,0.0003635638,0.0003089351,0.00127048,0.02439724,0.3034513,0.2187358,0.4501425],"study_design_scores_gemma":[0.000003148334,0.00001357575,0.0001005313,0.0001247847,0.000003153917,0.0002210177,0.00004652219,0.0003050454,0.005199483,0.0187147,0.9752602,0.000007803884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001191814,0.01446018,0.01368107,0.001208268,0.001750064,0.00004904209,0.000330372,0.0004012125,0.9669279],"genre_scores_gemma":[0.01297626,0.01759111,0.005726405,0.0006235883,0.0003388904,0.00005162051,0.0003792943,0.0002790213,0.9620337],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08525607,"threshold_uncertainty_score":0.28521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134647268094077,"score_gpt":0.2281592813730251,"score_spread":0.2168128086920843,"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."}}