{"id":"W6960984638","doi":"10.14288/1.0178311","title":"The Ladysmith Daily Ledger","year":2017,"lang":"en","type":"article","venue":"Open Collections","topic":"Cell Image Analysis Techniques","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":[0.001696722,0.0009913524,0.0006476019,0.004329853,0.004229016,0.007908537,0.0007829689,0.001868847,0.2656299],"category_scores_gemma":[0.004512686,0.0005845058,0.0004966377,0.002148395,0.001563715,0.003895959,0.003622315,0.002709434,0.1460894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003345259,"about_ca_system_score_gemma":0.004791964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00613564,"about_ca_topic_score_gemma":0.0198263,"domain_scores_codex":[0.9982737,0.0001583937,0.00007535515,0.0002983954,0.001015532,0.0001786199],"domain_scores_gemma":[0.9963612,0.0002774794,0.0001264079,0.0003568211,0.001594231,0.001283946],"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":[0.00002693212,0.00001247009,0.0001212192,0.00004676512,0.000002071888,0.0001135178,0.00009251841,0.00002051944,0.0003429159,0.007432015,0.9449204,0.04686872],"study_design_scores_gemma":[0.000001053114,0.000004433621,0.0001331254,0.00002192924,5.169041e-7,0.00005939723,0.00002703812,0.000008378065,0.0001162135,0.0003296674,0.9992948,0.000003430494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003520689,0.0177039,0.004936972,0.02927594,0.1199579,0.0002184427,0.002482277,0.003419806,0.8184841],"genre_scores_gemma":[0.003125119,0.002760062,0.001003153,0.0009622924,0.003885166,0.00003071882,0.0004302044,0.0006804657,0.9871229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7343701,"threshold_uncertainty_score":0.8886207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01215067365922802,"score_gpt":0.3009646232641986,"score_spread":0.2888139496049706,"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."}}