{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004399039,0.0006041995,0.0003428573,0.000924863,0.002932352,0.00130792,0.0009730486,0.0005039335,0.09542704],"category_scores_gemma":[0.0003484703,0.0003402533,0.000537251,0.0008292157,0.0007040147,0.0009378309,0.001252557,0.0007174973,0.02053597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01117851,"about_ca_system_score_gemma":0.01675546,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7738651,"about_ca_topic_score_gemma":0.886601,"domain_scores_codex":[0.9995812,0.00001509504,0.000006321095,0.00004416602,0.0002411605,0.0001121367],"domain_scores_gemma":[0.9996018,0.00002077925,0.000007675874,0.00003921745,0.0002729228,0.00005777597],"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":[0.0007940864,0.0003670901,0.007316479,0.0006799881,0.00006266722,0.0006875762,0.0006748437,0.01186169,0.1032146,0.04909902,0.2932267,0.5320153],"study_design_scores_gemma":[0.00009352261,0.00017011,0.01735318,0.0001259753,0.00002618082,0.0002038448,0.0003657632,0.01196374,0.06316899,0.001729946,0.9047458,0.00005291415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1127924,0.002185263,0.03071222,0.001444406,0.0003341435,0.000553293,0.01058302,0.01134199,0.8300533],"genre_scores_gemma":[0.1617939,0.001037188,0.01882309,0.0000993928,0.00001808612,0.00008441103,0.003762763,0.0006935342,0.8136876],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2261349,"threshold_uncertainty_score":0.4549333,"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."}}