{"id":"W6960976358","doi":"10.14288/1.0178538","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Scientific Innovation and Industrial Efficiency","field":"Decision 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":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005314112,0.00007114241,0.0001157559,0.00007176724,0.03920849,0.04160584,0.003991262,0.00005019601,0.003319439],"category_scores_gemma":[0.01129163,0.00003948785,0.00005838513,0.001633278,0.0003556511,0.0007194982,0.0006358653,0.0001517555,0.0007125701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003810224,"about_ca_system_score_gemma":0.0003518766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396327,"about_ca_topic_score_gemma":0.001972468,"domain_scores_codex":[0.9982041,0.0001107578,0.0003959122,0.0003458041,0.0007320299,0.0002114086],"domain_scores_gemma":[0.9967487,0.0005776937,0.000321482,0.001600185,0.0006854578,0.00006642172],"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":[0.0000104116,0.00002213583,0.00009464521,2.612477e-8,0.000003522042,4.617951e-7,0.00004527747,0.000007232061,0.00002051037,0.004692737,0.9731542,0.02194884],"study_design_scores_gemma":[0.0003134376,0.00002410565,0.001952985,0.000002174424,0.000002425292,0.00000370486,0.0006581024,0.0009431062,0.0002389138,0.0121198,0.9836721,0.00006912211],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005534632,0.000005964252,0.001098762,0.007440715,0.004866341,0.0003457523,0.00001191075,0.00001607039,0.985661],"genre_scores_gemma":[0.08958653,0.000002315981,0.0001221335,0.0002054767,0.0001415809,0.00003749463,5.246678e-7,0.000004159733,0.9098998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08903307,"threshold_uncertainty_score":0.9975917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2874253514819269,"score_gpt":0.4563335534986898,"score_spread":0.1689082020167629,"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."}}