{"id":"W2323130168","doi":"10.1097/prs.0000000000001371","title":"Vertical Scar Reduction Mammaplasty","year":2015,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Reconstructive Surgery and Microvascular Techniques","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mammaplasty; Reduction (mathematics); Coding (social sciences); Computer science; Medicine; Surgery; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001011379,0.0003578615,0.0002714798,0.0003848818,0.0002274175,0.0002341374,0.0002193366,0.0004206919,0.02479623],"category_scores_gemma":[0.0003077853,0.000101639,0.0002482919,0.0001698479,0.0001269075,0.0003023118,0.0002469758,0.0009406015,0.005287653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001338798,"about_ca_system_score_gemma":0.000237876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005983522,"about_ca_topic_score_gemma":0.001430415,"domain_scores_codex":[0.9999318,0.000003674141,0.00000685519,0.00001232609,0.00002882729,0.00001640254],"domain_scores_gemma":[0.9999057,0.00001553102,0.0000137845,0.000006270363,0.00001500168,0.00004361071],"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":[0.0004764087,0.0002275193,0.005610617,0.0008583383,0.0001076963,0.04741406,0.00009111672,0.0002775807,0.01683328,0.00206717,0.2845132,0.6415231],"study_design_scores_gemma":[0.000158724,0.001511057,0.02523877,0.0006453296,0.0000870548,0.4679221,0.0001471155,0.0004266801,0.00687805,0.001501494,0.4954306,0.00005299174],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.206314,0.1759759,0.03838732,0.07017202,0.09481172,0.001040154,0.009697361,0.003111415,0.40049],"genre_scores_gemma":[0.4644967,0.09713636,0.025267,0.03177766,0.03593059,0.0002845654,0.007896323,0.0003874279,0.3368234],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02479623,"threshold_uncertainty_score":0.08295161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289712162773147,"score_gpt":0.2579695804369606,"score_spread":0.2250724588092292,"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."}}