{"id":"W3022716418","doi":"10.1136/ijgc-00009577-200609000-00039","title":"To the Editor:","year":2006,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Computational biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002349552,0.001182518,0.001612958,0.001293512,0.001496123,0.002917458,0.002450411,0.01135708,0.02779016],"category_scores_gemma":[0.01722656,0.0004821219,0.000943031,0.000521338,0.00116337,0.002467503,0.001110899,0.00920596,0.01839627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008617074,"about_ca_system_score_gemma":0.001456754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006676668,"about_ca_topic_score_gemma":0.001036252,"domain_scores_codex":[0.9981816,0.0003696173,0.000224854,0.0003613045,0.00061437,0.0002482785],"domain_scores_gemma":[0.9915651,0.002235834,0.0007202126,0.0004250969,0.003357979,0.001695861],"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":[0.0001343467,0.00002949909,0.0002642805,0.0002822262,0.00003542261,0.00171033,0.00004143207,0.00004813154,0.000217408,0.000645721,0.9837506,0.01284053],"study_design_scores_gemma":[0.00005762992,0.00005890511,0.0006106803,0.0002378009,0.00004233484,0.002452612,0.0001071187,0.0001241191,0.0004791571,0.000459741,0.995342,0.00002785595],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0006967428,0.009237938,0.0004257243,0.2511454,0.7330472,0.00003431282,0.0001432079,0.00009768728,0.005171786],"genre_scores_gemma":[0.00964543,0.01128683,0.0007971064,0.3853821,0.5385429,0.00007281717,0.0002039258,0.0001031915,0.05396561],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9722098,"threshold_uncertainty_score":0.09296733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190280810816565,"score_gpt":0.3175104469808236,"score_spread":0.305607638872658,"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."}}