{"id":"W3197778175","doi":"10.1155/2021/4331250","title":"Minimal One‐Third Incision and Four‐Step (MOTIF) Excision Method for Lipoma","year":2021,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Scars; Surgery; Lipoma; Motif (music); Complication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218144,0.0001124403,0.0002153621,0.0004162546,0.0001417971,0.0000931312,0.000126093,0.000109641,0.0003715029],"category_scores_gemma":[0.001543304,0.00009217112,0.0001132285,0.0002774988,0.00008720144,0.00007628796,0.0002508843,0.0001804098,0.00005239674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002131026,"about_ca_system_score_gemma":0.0001933337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006039581,"about_ca_topic_score_gemma":0.00002487491,"domain_scores_codex":[0.9977801,0.0001201282,0.0002616643,0.0004446736,0.00108252,0.0003109536],"domain_scores_gemma":[0.9971349,0.001385913,0.00004239709,0.000232205,0.0009733735,0.0002312686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001861521,0.00285648,0.03110421,0.0001622694,0.0007499633,0.001207785,0.0002709352,6.034521e-7,0.1210049,0.006373539,0.07894497,0.7554628],"study_design_scores_gemma":[0.01020353,0.001370754,0.3563358,0.0005880144,0.00009318668,0.0008052983,0.000451087,0.0109619,0.09795177,0.004115646,0.5168487,0.0002742769],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9164284,0.002969934,0.01239265,0.05989177,0.001409507,0.001414648,0.0002379702,0.00006977694,0.005185287],"genre_scores_gemma":[0.7764127,0.0008209714,0.2154064,0.0004573005,0.001313834,0.0003648377,0.0004463848,0.00004081869,0.004736735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7551885,"threshold_uncertainty_score":0.4067696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2071676259023009,"score_gpt":0.4797705894287877,"score_spread":0.2726029635264868,"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."}}