{"id":"W3208111848","doi":"10.1097/prs.0000000000008422","title":"SMaRT Assessment Tool: An Innovative Approach for Objective Assessment of Flap Designs","year":2021,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Computer science; Ideal (ethics); Artificial intelligence; Simulation; Engineering drawing; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.001245318,0.0003708393,0.001223077,0.0004443761,0.00009245113,0.00004636957,0.0001016595,0.0001276704,0.0001322968],"category_scores_gemma":[0.005046317,0.0003431975,0.0002313593,0.001032891,0.0005545518,0.0004467134,0.00007484504,0.0004184794,0.000002027284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003843523,"about_ca_system_score_gemma":0.00298808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000112081,"about_ca_topic_score_gemma":0.000001749548,"domain_scores_codex":[0.9969798,0.0002341631,0.0009122564,0.000771535,0.0005984278,0.000503801],"domain_scores_gemma":[0.9904452,0.006159338,0.0004430221,0.000485178,0.002264971,0.0002023018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000544548,0.002121153,0.8849555,0.001088805,0.001809665,0.0001862316,0.0004869346,0.00009418848,0.02343053,0.007369731,0.001416277,0.07649641],"study_design_scores_gemma":[0.004078842,0.001204727,0.9352818,0.001176315,0.0007452857,0.001326285,0.006052601,0.01885681,0.02782287,0.001852807,0.0006488435,0.0009528776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5990028,0.00006327182,0.3647256,0.00008323827,0.001471109,0.0009272517,0.0001966883,0.00009805847,0.03343199],"genre_scores_gemma":[0.8136073,0.000008647999,0.1850225,0.0001882107,0.0001992284,0.0002134921,0.0005388342,0.0000562779,0.0001654939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2146046,"threshold_uncertainty_score":0.999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05439996608605038,"score_gpt":0.3345848755497554,"score_spread":0.280184909463705,"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."}}