{"id":"W6960764211","doi":"10.14288/1.0178481","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Genetic diversity and population structure","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298173,0.0007153664,0.0005600883,0.003120719,0.00361936,0.005931359,0.000625058,0.001658449,0.1709903],"category_scores_gemma":[0.004150357,0.0004705763,0.0003050312,0.002026072,0.001644761,0.003029135,0.003380549,0.002145355,0.05778585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003147589,"about_ca_system_score_gemma":0.004438084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009883,"about_ca_topic_score_gemma":0.02925015,"domain_scores_codex":[0.9987485,0.0001402658,0.00005598294,0.0002538876,0.0006582192,0.0001432239],"domain_scores_gemma":[0.9972783,0.0002665863,0.000135844,0.0002841984,0.00110391,0.0009310585],"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":[0.00004463282,0.00001574924,0.0003815271,0.000064856,0.000003709268,0.0002047051,0.0002211938,0.00003626892,0.0003113295,0.01334423,0.9178206,0.0675512],"study_design_scores_gemma":[0.000001278881,0.000005112551,0.0003374894,0.00002564157,5.795183e-7,0.00005945344,0.0000375622,0.000007769376,0.00007438118,0.0004116292,0.9990355,0.000003659707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008082676,0.03060158,0.003027118,0.04576904,0.1375756,0.0002249791,0.003532693,0.001623943,0.7695623],"genre_scores_gemma":[0.008319306,0.003589844,0.0008611669,0.001145449,0.004902036,0.00002868884,0.0004336616,0.0003876994,0.9803321],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1709903,"threshold_uncertainty_score":0.5720196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932160152234036,"score_gpt":0.2743823692582593,"score_spread":0.2550607677359189,"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."}}