{"id":"W6942438697","doi":"10.14288/1.0178301","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ledger; Distributed ledger; Population; Publishing; Project commissioning","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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00007430513,0.00004889518,0.00005270801,0.000008401011,0.006093819,0.003422685,0.0003974576,0.00002279032,0.0001667046],"category_scores_gemma":[0.00003048288,0.00003608378,0.00002167453,0.00007351812,0.00002597314,0.0001886702,0.00006744519,0.00006191593,0.00003442589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002421241,"about_ca_system_score_gemma":0.00001899851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000499983,"about_ca_topic_score_gemma":0.002309028,"domain_scores_codex":[0.9997256,0.000007400577,0.00006668227,0.00006240996,0.00003457803,0.0001033346],"domain_scores_gemma":[0.9995792,0.00002272206,0.00001908574,0.0003221276,0.00003168935,0.00002516368],"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":[0.00000663802,0.000007832306,0.00003296094,0.000001160566,0.00004006831,7.269266e-7,0.00003484661,0.00816478,0.0000696374,0.0001315891,0.9774593,0.01405051],"study_design_scores_gemma":[0.0004078822,0.0000105962,0.0006988352,0.000005231283,0.0000133244,0.000004059496,0.00003141594,0.08285004,0.0002671121,0.0003990787,0.9152202,0.00009221337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006522618,0.0002575803,0.004917368,0.0004221698,0.0008230277,0.0002755865,0.000008104207,0.00008089218,0.9931501],"genre_scores_gemma":[0.1245472,0.001065806,0.001342274,0.00007393117,0.0003228561,0.0002924057,0.000004972134,0.00004086304,0.8723097],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.124482,"threshold_uncertainty_score":0.9976119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00914403170519425,"score_gpt":0.2202092196096281,"score_spread":0.2110651879044339,"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."}}