{"id":"W1613199604","doi":"10.1002/ijc.28473","title":"S100A7 overexpression is a predictive marker for high risk of malignant transformation in oral dysplasia","year":2013,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; Mount Sinai Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Cancer; Dysplasia; Internal medicine; Oncology; Biomarker; Biopsy; Hazard ratio; Proportional hazards model; Surrogate endpoint; Pathology; Biology; Confidence interval","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002046535,0.00007926418,0.0001762799,0.0001369294,0.00002170107,0.00001105207,0.0001347036,0.00008366739,0.0008451515],"category_scores_gemma":[0.00002865879,0.00005876971,0.00009052269,0.00004075028,0.00002748254,0.0003697402,0.00001162548,0.0001373575,0.00001272711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899969,"about_ca_system_score_gemma":0.00009093613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008651277,"about_ca_topic_score_gemma":0.000178457,"domain_scores_codex":[0.9989322,0.00005015339,0.0005251801,0.00007948088,0.0003042094,0.0001087761],"domain_scores_gemma":[0.9988045,0.00008975207,0.0005312713,0.00005112396,0.0004812644,0.00004206163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006694859,0.0006770301,0.8982432,0.0001421156,0.001147054,0.00009738875,0.002625997,0.0008697083,0.004833606,0.001458334,0.008333819,0.07487693],"study_design_scores_gemma":[0.004309309,0.0003231956,0.9692584,0.000502442,0.00007238633,0.00005909716,0.0001148452,0.0009223256,0.01700972,0.006669029,0.0006928065,0.00006648035],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951676,0.000250779,0.001960307,0.0007981843,0.001058687,0.0002565623,0.0003592948,0.000003019398,0.0001455563],"genre_scores_gemma":[0.9986618,0.000301912,0.0005771073,0.0001337182,0.0001103634,0.00005477035,0.000008578238,0.00000706676,0.0001446958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07481045,"threshold_uncertainty_score":0.9253817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139488232643722,"score_gpt":0.342462900523328,"score_spread":0.3285140772589558,"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."}}