{"id":"W6923500559","doi":"10.14288/1.0178572","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Biomedical and Chemical Research","field":"Medicine","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001927855,0.00004395216,0.00008712272,0.000009087886,0.006753563,0.001322573,0.0004579398,0.00004760603,0.001362739],"category_scores_gemma":[0.0006880262,0.0000238733,0.00003977292,0.0001463839,0.0002930365,0.00006014517,0.0003220034,0.0002109195,0.000104898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000360181,"about_ca_system_score_gemma":0.0001987876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774905,"about_ca_topic_score_gemma":0.0004962698,"domain_scores_codex":[0.9994259,0.00001243461,0.00007995569,0.0001187984,0.0001885173,0.0001743728],"domain_scores_gemma":[0.99915,0.000100382,0.00002564273,0.0004716343,0.00008826208,0.0001641244],"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":[0.00007569562,0.00007028973,0.0001651317,0.000002838342,0.00003013846,0.000006515299,0.00000897935,5.328381e-9,0.0005746181,0.0001411459,0.9857067,0.01321791],"study_design_scores_gemma":[0.0007325747,0.0000819616,0.003329233,0.00002055873,0.00001589013,0.0000195488,0.00004989756,0.00006017551,0.002676253,0.001476833,0.9914973,0.00003975358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007484818,0.00004943273,0.00004303089,0.02301412,0.0001496899,0.0002897724,0.000004816662,0.00001295978,0.9756877],"genre_scores_gemma":[0.06899201,0.00009880559,0.0001127855,0.0002596652,0.0001591977,0.00008396274,0.000002010002,0.000006197474,0.9302853],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06824353,"threshold_uncertainty_score":0.9997141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05480327138261969,"score_gpt":0.3863210677856828,"score_spread":0.3315177964030631,"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."}}