{"id":"W7017487108","doi":"","title":"556: The Butterfly Effect, Part 2 - The battery","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Butterfly; Alliance; Energy (signal processing); State (computer science)","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":[0.0006357615,0.0008555065,0.0002416262,0.001097785,0.001616611,0.003168487,0.0009012377,0.002117144,0.1324068],"category_scores_gemma":[0.00102774,0.0003775924,0.0003434275,0.001052541,0.0007740157,0.002914038,0.00153677,0.001833976,0.06553764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001408703,"about_ca_system_score_gemma":0.001250489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008998218,"about_ca_topic_score_gemma":0.01892737,"domain_scores_codex":[0.9993846,0.00005810564,0.00002486588,0.0000625239,0.0004049607,0.00006485307],"domain_scores_gemma":[0.9997148,0.00004558079,0.00001536927,0.00004008298,0.0001262215,0.00005792325],"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":[0.00004265124,0.00003489426,0.0001493132,0.0001251017,0.00000247018,0.00008127291,0.00008616239,0.00007988077,0.001044697,0.009623736,0.8955629,0.0931669],"study_design_scores_gemma":[0.000002068499,0.00001333609,0.0002073783,0.00003632946,0.000001176776,0.00007743081,0.00002814897,0.00001841584,0.0002389559,0.0006215537,0.9987522,0.00000303146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001293892,0.01875381,0.001171205,0.007963357,0.00877224,0.0001528255,0.0009702436,0.0005835677,0.9603389],"genre_scores_gemma":[0.002759646,0.004915173,0.0003121628,0.00216534,0.0007690084,0.00003514193,0.0003045909,0.0001635558,0.9885755],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1324068,"threshold_uncertainty_score":0.442945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005294487336339583,"score_gpt":0.1808196981090714,"score_spread":0.1755252107727318,"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."}}