{"id":"W2268073158","doi":"10.1093/jnci/djv389","title":"RE: p16/Ki-67 Dual Stain Cytology for Detection of Cervical Precancer in HPV-Positive Women: Table 1.","year":2015,"lang":"en","type":"letter","venue":"JNCI Journal of the National Cancer Institute","topic":"Cervical Cancer and HPV Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Cytology; Stain; Table (database); Gynecology; Medicine; Pathology; Staining; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005397435,0.0008083023,0.00081798,0.0008769287,0.001282006,0.001099479,0.001280836,0.01371101,0.01885514],"category_scores_gemma":[0.006387419,0.0004339514,0.001058839,0.0004963822,0.0006639172,0.001136226,0.0004140386,0.008232581,0.01036029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107165,"about_ca_system_score_gemma":0.00142516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007006682,"about_ca_topic_score_gemma":0.00978431,"domain_scores_codex":[0.9993469,0.0001481196,0.0001058861,0.00009332452,0.0001814166,0.0001243185],"domain_scores_gemma":[0.9986656,0.0005390638,0.00008719407,0.00004990249,0.000441027,0.000217216],"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":[0.0001055309,0.0001201623,0.005129465,0.0001058907,0.00002218057,0.03849807,0.00007615933,0.0001411672,0.0009232184,0.0009881528,0.9378067,0.01608337],"study_design_scores_gemma":[0.0003493824,0.0004243155,0.01739096,0.001802793,0.0001128946,0.1568453,0.0005795442,0.002001236,0.00198779,0.006726746,0.8116598,0.0001192349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004742978,0.004985462,0.0005116679,0.9112179,0.03378882,0.00015761,0.000685172,0.0002113152,0.04369913],"genre_scores_gemma":[0.04788529,0.006921513,0.001620894,0.7894093,0.08149419,0.0001587885,0.0008507053,0.0001247482,0.07153456],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01885514,"threshold_uncertainty_score":0.06307667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08231815268294206,"score_gpt":0.3884029570848169,"score_spread":0.3060848044018749,"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."}}