{"id":"W6992423797","doi":"","title":"Leclanché Building Complete Energy Storage Systems for Commercial and Industrial Applications with NRStor C&I in Canada","year":2018,"lang":"en","type":"other","venue":"","topic":"Phase Change Materials Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Production (economics); Work (physics); Energy storage; Energy consumption","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009814287,0.0002641389,0.0004494845,0.0002583853,0.00004563944,0.00006861635,0.000215342,0.0002043681,0.0004820274],"category_scores_gemma":[0.000009334695,0.000244191,0.00001459857,0.0001472606,0.00004679803,0.00002490944,0.00004897731,0.0001278517,0.00001006697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006467612,"about_ca_system_score_gemma":0.000290395,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8042609,"about_ca_topic_score_gemma":0.9786007,"domain_scores_codex":[0.998886,0.00003822361,0.0002142895,0.0002614518,0.0002136148,0.0003864486],"domain_scores_gemma":[0.9993945,0.00008585444,0.00005656237,0.0003052863,0.00003115553,0.0001266075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003540316,0.000009641309,0.00005528484,0.0004372963,0.00009434946,0.000002863001,0.00001980304,0.0002943901,0.001667202,0.0003840744,0.9963917,0.0006080376],"study_design_scores_gemma":[0.0007506552,0.00001281591,0.000004223826,0.0001579262,0.00001087746,0.000004958519,0.00001615359,0.001172957,0.00005543952,0.000003652336,0.9975192,0.0002911529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01300813,0.00750889,0.5736743,0.0002489097,0.006744567,0.01239493,0.01798995,0.001676592,0.3667538],"genre_scores_gemma":[0.2038709,0.001362505,0.01477246,0.0003389666,0.03500108,0.01864627,0.007144542,0.006962549,0.7119008],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5589018,"threshold_uncertainty_score":0.9957819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08996637929450224,"score_gpt":0.2768297101087788,"score_spread":0.1868633308142765,"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."}}