{"id":"W6923351612","doi":"10.14288/1.0178573","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Renal and related cancers","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00135203,0.000808825,0.0006035963,0.003339793,0.003695038,0.007153574,0.000599491,0.002207598,0.2011688],"category_scores_gemma":[0.004677267,0.0004457626,0.0004004095,0.001782856,0.001608738,0.003368093,0.003373621,0.002953403,0.09647842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003242827,"about_ca_system_score_gemma":0.005090239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006453784,"about_ca_topic_score_gemma":0.02050621,"domain_scores_codex":[0.9984743,0.0001538494,0.00006890763,0.0002795956,0.0008119608,0.0002112972],"domain_scores_gemma":[0.9966516,0.0003028303,0.0001473186,0.0002593797,0.001353702,0.001285136],"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":[0.0000232227,0.0000105761,0.0002022658,0.00004215234,0.000002310532,0.0001431808,0.00008371066,0.00001768829,0.0001433151,0.007330887,0.9573334,0.03466727],"study_design_scores_gemma":[0.000001044542,0.000004081206,0.0001794545,0.00002762951,5.574362e-7,0.00007144358,0.0000294659,0.000005320882,0.0000596892,0.0003094853,0.9993087,0.000003139796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003791428,0.03337718,0.001511119,0.06056806,0.2150755,0.0001404536,0.001897589,0.001130746,0.6825079],"genre_scores_gemma":[0.004652985,0.004636781,0.0003923626,0.002085874,0.008906811,0.0000213826,0.0002683314,0.0002815945,0.9787538],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7988312,"threshold_uncertainty_score":0.6729767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099387166479516,"score_gpt":0.2738148590052932,"score_spread":0.262820987340498,"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."}}