{"id":"W4251490956","doi":"10.1097/prs.0b013e31820631ed","title":"Reply: Nasal Reconstruction after Malignant Tumor Resection: An Algorithm for Treatment","year":2011,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Reconstructive Facial Surgery Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Medicine; Nose; Transpose; Surgery; Algorithm; Resection; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003937189,0.001816163,0.001395035,0.001536636,0.001513292,0.002346873,0.002438776,0.01967446,0.004399927],"category_scores_gemma":[0.02802575,0.0007612609,0.001602274,0.0008111611,0.002465933,0.007418711,0.002024736,0.02628193,0.004386447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581322,"about_ca_system_score_gemma":0.001837232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009529245,"about_ca_topic_score_gemma":0.001284683,"domain_scores_codex":[0.998033,0.0006093424,0.0004858576,0.0002298392,0.0004464749,0.0001954407],"domain_scores_gemma":[0.9891264,0.004431698,0.000816719,0.0003450596,0.004411496,0.0008686979],"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":[0.0001184117,0.00006223888,0.001273802,0.0003729835,0.00004159092,0.00367906,0.0001763002,0.0004079724,0.0003548422,0.00255372,0.950878,0.04008106],"study_design_scores_gemma":[0.0001934033,0.0002323234,0.001491166,0.001189713,0.0001181845,0.03098153,0.0008402942,0.001703643,0.000794426,0.01356183,0.948652,0.0002415371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00105772,0.01234314,0.002637547,0.8760095,0.1056661,0.00009049397,0.0001291124,0.0001942981,0.001871983],"genre_scores_gemma":[0.007727033,0.01514467,0.007157178,0.7068586,0.2575597,0.0002064354,0.0001663614,0.00008569063,0.005094397],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01967446,"threshold_uncertainty_score":0.02082205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087835792109292,"score_gpt":0.2704226318368868,"score_spread":0.2295442739157938,"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."}}