{"id":"W2327048776","doi":"10.1097/01.prs.0000430169.20515.08","title":"Abstract P5","year":2013,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Reconstructive surgery; Plastic surgery; Surgery; General surgery","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":["insufficient_payload"],"category_scores_codex":[0.0006357966,0.0006571778,0.0004246989,0.00141445,0.001098051,0.00296967,0.0008540086,0.002064901,0.8265376],"category_scores_gemma":[0.003120004,0.0002623574,0.0006199187,0.0008241542,0.0003484459,0.0008897781,0.001185385,0.001328461,0.5867429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008653059,"about_ca_system_score_gemma":0.00256716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003784503,"about_ca_topic_score_gemma":0.007155268,"domain_scores_codex":[0.9995183,0.0000474061,0.00002676603,0.00005073559,0.0002643555,0.00009236708],"domain_scores_gemma":[0.9965377,0.0003061249,0.00007258882,0.0001614513,0.001824094,0.001098096],"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":[0.00005936878,0.00005185501,0.0001852646,0.00009640603,0.000002601213,0.00005970274,0.00000856578,0.00003402902,0.000217353,0.0006319427,0.9531797,0.04547329],"study_design_scores_gemma":[0.00005063917,0.00007272504,0.001726247,0.0001724247,0.000005397639,0.00009682382,0.0000439083,0.0001236721,0.0003126755,0.001139723,0.9962497,0.000006048967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00108371,0.0006289998,0.0009142049,0.008313985,0.02123438,0.0005510841,0.005176672,0.0007330167,0.961364],"genre_scores_gemma":[0.003396685,0.0004024247,0.0003506817,0.001926017,0.003940327,0.00008986188,0.001823431,0.0001306046,0.9879401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1734624,"threshold_uncertainty_score":0.247423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01975820208788861,"score_gpt":0.246798313600803,"score_spread":0.2270401115129143,"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."}}