{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004682238,0.001496123,0.001795593,0.006595115,0.002216776,0.0054015,0.004035687,0.003286007,0.8384557],"category_scores_gemma":[0.09038795,0.001018182,0.002044781,0.008194193,0.0009765369,0.003800336,0.003389589,0.003730531,0.5232411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003138926,"about_ca_system_score_gemma":0.006859066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055831,"about_ca_topic_score_gemma":0.01042587,"domain_scores_codex":[0.9935926,0.001117639,0.001270463,0.001140515,0.002265604,0.0006132526],"domain_scores_gemma":[0.9549563,0.01432113,0.002046326,0.004203713,0.0229244,0.001548152],"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":[0.00006105475,0.000007504002,0.0001720753,0.0004040321,0.000009348737,0.00004351535,0.00002255201,0.00004318321,0.00002579761,0.000689171,0.9880817,0.01044004],"study_design_scores_gemma":[0.00009346497,0.00001874936,0.0009101323,0.000727065,0.0000153659,0.0001263377,0.0001026021,0.00008435798,0.0001077686,0.001666132,0.9961287,0.00001931901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007120439,0.001600321,0.003820189,0.02640869,0.1114097,0.001171467,0.7483684,0.005493561,0.1010156],"genre_scores_gemma":[0.01316228,0.003783767,0.01207697,0.02095198,0.0153453,0.003535312,0.53867,0.007098775,0.3853757],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8384557,"threshold_uncertainty_score":0.2304233,"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."}}