{"id":"W2312859521","doi":"10.1097/01.prs.0000430177.40707.4b","title":"Abstract P13","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":"University of Toronto","funders":"","keywords":"Medicine; Reconstructive surgery; Plastic surgery; General surgery; 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":[0.0006507207,0.0007917997,0.0005639185,0.001587864,0.001144121,0.00299191,0.0008341967,0.002002723,0.8141423],"category_scores_gemma":[0.003185636,0.0002833736,0.000661841,0.000998587,0.000381419,0.0009149435,0.001135879,0.001283878,0.5650283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009132243,"about_ca_system_score_gemma":0.0023576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003681813,"about_ca_topic_score_gemma":0.007332563,"domain_scores_codex":[0.9995267,0.000045627,0.00002686574,0.0000561157,0.0002561163,0.00008870976],"domain_scores_gemma":[0.9967881,0.0003579333,0.00007723058,0.0001570726,0.001714787,0.0009048966],"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":[0.00006111098,0.00004289954,0.0001478702,0.00008932596,0.000002631346,0.00005568353,0.000008008567,0.0000296448,0.0001801071,0.0005761111,0.9583378,0.04046886],"study_design_scores_gemma":[0.00005494967,0.00007281669,0.001891895,0.00020763,0.000006589129,0.0001118103,0.00004260744,0.0001104406,0.0002944546,0.001263471,0.9959368,0.000006599833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001096644,0.001193928,0.0009020625,0.01059585,0.03369246,0.0005188923,0.00685504,0.000856113,0.944289],"genre_scores_gemma":[0.002633251,0.0006093513,0.0002575728,0.00194185,0.005225441,0.00008731672,0.001794539,0.0001403343,0.9873103],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1858577,"threshold_uncertainty_score":0.2651035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968373739929439,"score_gpt":0.2464486120130184,"score_spread":0.226764874613724,"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."}}