{"id":"W2417787457","doi":"10.25011/cim.v38i3.22708","title":"Letter of Retraction","year":2015,"lang":"en","type":"article","venue":"Clinical and investigative medicine","topic":"Clusterin in disease pathology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007291089,0.00008680569,0.0004244722,0.00005233795,0.00001254215,9.343904e-7,0.00003535139,0.0001149892,0.00008514967],"category_scores_gemma":[0.00542972,0.00005734459,0.00003906822,0.0001099061,0.008473749,0.00004851101,0.00004419039,0.0002619699,0.00001656123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000102861,"about_ca_system_score_gemma":0.00006644383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001860936,"about_ca_topic_score_gemma":0.000001670284,"domain_scores_codex":[0.9989059,0.0001210031,0.0004941297,0.0002014086,0.0001821556,0.00009539965],"domain_scores_gemma":[0.9989001,0.0001392185,0.0001309438,0.0001800398,0.000187922,0.0004617845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005382836,0.0002408284,0.698296,0.0001973539,0.00009463847,0.0001208569,0.001003858,4.732436e-7,0.008117374,0.00387901,0.28018,0.007331372],"study_design_scores_gemma":[0.006020343,0.003756208,0.8718266,0.0004709021,0.0002564156,0.000132164,0.0003394036,0.0001654396,0.001729637,0.03196844,0.08321384,0.0001205752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970163,0.0003637252,0.0001079789,0.09515144,0.0007906051,0.00016372,0.000002102458,0.00002421014,0.006379859],"genre_scores_gemma":[0.9830911,0.00005738703,0.001050693,0.01378334,0.001220947,0.000005321507,0.00001475644,0.000008765285,0.0007676715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1969661,"threshold_uncertainty_score":0.9942246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3922860799815083,"score_gpt":0.4304161067295554,"score_spread":0.03813002674804711,"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."}}