{"id":"W6961051920","doi":"10.14288/1.0178580","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0001688443,0.00005695987,0.00005250327,0.000003148862,0.008596101,0.00175878,0.0006896802,0.00005163012,0.00003778076],"category_scores_gemma":[0.0001947135,0.00003430341,0.00004083617,0.00004082859,0.00009911495,0.000003266879,0.0005736527,0.00005592344,0.00001099429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000535881,"about_ca_system_score_gemma":0.00004542971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003833018,"about_ca_topic_score_gemma":0.0009546408,"domain_scores_codex":[0.9995642,0.00003065218,0.00007260131,0.0001639518,0.00003474151,0.0001338536],"domain_scores_gemma":[0.9994193,0.00001592154,0.00005602352,0.0004265425,0.00004833239,0.00003385458],"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":[0.00007121615,0.00005471655,0.001259076,8.893908e-7,0.00005950087,0.000001874963,0.000007559471,0.000006567259,0.0206759,0.0002475029,0.9640443,0.01357094],"study_design_scores_gemma":[0.0002521889,0.0001394405,0.00372733,0.000003032131,0.000005893314,0.000007860092,0.00003427495,0.00004792859,0.01020924,0.0005028209,0.9849793,0.00009064268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.021232,0.0001095003,0.0005544579,0.0008919224,0.0004589699,0.0002531236,0.000007722751,0.000009274801,0.976483],"genre_scores_gemma":[0.5850945,0.00005383957,0.0002295582,0.000155305,0.0002146831,0.00002892079,0.000005723241,0.000005062255,0.4142124],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5638625,"threshold_uncertainty_score":0.9992775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472008646365593,"score_gpt":0.2973531182417727,"score_spread":0.2726330317781168,"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."}}