{"id":"W6960996144","doi":"10.14288/1.0178566","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","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":[0.0001340517,0.00004927881,0.00005490502,8.569677e-7,0.0155629,0.002156706,0.0009912596,0.00002618864,0.0004070754],"category_scores_gemma":[0.0001158787,0.00001473371,0.00002522107,0.000126604,0.00009420793,0.0001124378,0.0001934846,0.00007448663,0.00004099574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001520464,"about_ca_system_score_gemma":0.00001562141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0034685,"about_ca_topic_score_gemma":0.01084009,"domain_scores_codex":[0.999588,0.00001225049,0.00007288514,0.0001292736,0.00007542902,0.0001221349],"domain_scores_gemma":[0.9995232,0.0001591817,0.00006905727,0.0001491929,0.00004584874,0.00005350859],"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":[0.00001383497,0.00003665724,0.0002635152,3.265239e-7,0.00001075032,8.586755e-7,0.000007600145,2.409045e-7,0.02250394,0.0002071073,0.9613234,0.0156318],"study_design_scores_gemma":[0.00008610135,0.00002940665,0.02301478,0.000005998164,0.000008009974,0.0000135984,0.0001375314,0.00002984539,0.003594034,0.002656233,0.9703501,0.00007435711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01602282,0.00002376736,0.000005734018,0.008090249,0.0001319663,0.0003478372,0.00004973781,0.00002507215,0.9753028],"genre_scores_gemma":[0.550921,0.00003327285,0.00003328494,0.00009283658,0.0002501886,0.0002235797,0.00001254289,4.136375e-7,0.4484329],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5348982,"threshold_uncertainty_score":0.9988791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03355655015535357,"score_gpt":0.2726200482297662,"score_spread":0.2390634980744126,"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."}}