{"id":"W4251532834","doi":"10.3747/co.v16i5.551","title":"Table Data Correction","year":2009,"lang":"en","type":"article","venue":"Current Oncology","topic":"Advanced Breast Cancer Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"Medicine; Table (database); Information retrieval; Data science; Computational biology; Data mining; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009625995,0.0000790945,0.0001940032,0.00004772387,0.00003892417,0.000004125835,0.0001333142,0.00005175931,0.0002233395],"category_scores_gemma":[0.00008280521,0.00006990999,0.00001784333,0.0001399057,0.00004294662,0.0001154218,0.00004083108,0.0001958015,0.0000844565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001410437,"about_ca_system_score_gemma":0.0001606156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003921283,"about_ca_topic_score_gemma":0.000007490035,"domain_scores_codex":[0.9993325,0.00002302829,0.0001291562,0.0002395852,0.00009057635,0.0001850771],"domain_scores_gemma":[0.9992955,0.00003165978,0.0000569596,0.0004789031,0.00006186199,0.00007514776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002112162,0.0003104129,0.002074076,0.000008093079,0.00001043999,0.000008214773,0.00006619377,0.000004887422,0.001300852,0.0001022658,0.02229493,0.9736084],"study_design_scores_gemma":[0.001266804,0.0005143418,0.01311067,0.00003779082,0.0000406663,0.0001926015,0.00005728948,0.0008759938,0.0003585184,0.0003576886,0.9831186,0.00006901871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4065765,0.100708,0.1631978,0.05719238,0.0953531,0.004590889,0.0002749228,0.002800873,0.1693055],"genre_scores_gemma":[0.9889095,0.0006410787,0.003367098,0.001753295,0.002306408,0.00002165286,0.0005462915,0.00002387792,0.002430775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9735394,"threshold_uncertainty_score":0.2850847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.175738964585935,"score_gpt":0.4672816582780982,"score_spread":0.2915426936921631,"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."}}