{"id":"W3200411256","doi":"10.1097/prs.0000000000008391","title":"Fine Details That Improve Nasal Reconstruction","year":2021,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Reconstructive Facial Surgery Techniques","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Medicine; Nose; Face (sociological concept); Surgery; Feature (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005790467,0.0006049653,0.001453995,0.000653367,0.0002444493,0.0001030936,0.0001138112,0.0004313101,0.002860122],"category_scores_gemma":[0.004491402,0.000610214,0.0007570037,0.0008466863,0.0008154524,0.0006292174,0.0001217812,0.0007630829,0.0001831637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004236408,"about_ca_system_score_gemma":0.001427036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003717624,"about_ca_topic_score_gemma":0.00004713802,"domain_scores_codex":[0.996069,0.0002783618,0.001009053,0.001172683,0.0005889544,0.0008819505],"domain_scores_gemma":[0.9936418,0.003812972,0.0005004835,0.0006948729,0.0008656222,0.0004842287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003133432,0.00009850138,0.6845203,0.000101335,0.0003422572,0.0004416123,0.00002532579,5.601333e-7,0.02768881,0.0003409041,0.000671095,0.285456],"study_design_scores_gemma":[0.001108019,0.0001418032,0.5524378,0.0008734273,0.0003728468,0.01451733,0.0005993007,0.0001288564,0.4213786,0.004407954,0.002909336,0.001124637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777163,0.0003537506,0.002818051,0.0001326987,0.007028748,0.0004527666,0.0001506095,0.0005514327,0.01079562],"genre_scores_gemma":[0.9909024,0.0001670939,0.007294029,0.0001217343,0.0006341353,0.0001211414,0.0001175973,0.0001025425,0.0005393164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3936898,"threshold_uncertainty_score":0.9996349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479333172316693,"score_gpt":0.2549591231507481,"score_spread":0.2301657914275812,"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."}}