{"id":"W7132227677","doi":"","title":"Expediting operational damage control laparotomy closure : iTClampTM vs suturing during damage control surgical simulation training","year":2015,"lang":"en","type":"other","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Damage control surgery; Laparotomy; Closure (psychology); Damage control; Expediting; Surgical instrument; Wound closure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007962434,0.0002886642,0.0003161333,0.0001654386,0.0001133373,0.000465245,0.000347015,0.0003623497,0.004870171],"category_scores_gemma":[0.002849567,0.0001055747,0.0003726562,0.0001253942,0.0003164435,0.0004001531,0.0004496561,0.00052494,0.0002746473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002701042,"about_ca_system_score_gemma":0.0005013513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003601283,"about_ca_topic_score_gemma":0.0006195909,"domain_scores_codex":[0.9995854,0.0001622024,0.00005434277,0.00006866702,0.00006433418,0.0000650293],"domain_scores_gemma":[0.9981954,0.0007072869,0.0004995383,0.00009137774,0.00006063558,0.0004458068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.3661115,0.03764718,0.03825052,0.00277681,0.0007502874,0.0002204119,0.001138459,0.004630643,0.0440144,0.0007916384,0.0007458246,0.5029224],"study_design_scores_gemma":[0.01942327,0.7570749,0.1884656,0.0006417127,0.001179327,0.0004090029,0.001107363,0.007699362,0.01974551,0.0005711164,0.003616509,0.00006627695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986444,0.0001694888,0.0003544104,0.00003930931,0.00003967561,0.00009029693,0.00002126188,0.000007545163,0.0006335177],"genre_scores_gemma":[0.9973133,0.0002938922,0.001555927,0.00004831194,0.00003891088,0.0002188325,0.0000592422,0.000002808487,0.0004686482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004870171,"threshold_uncertainty_score":0.01629233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320882600339698,"score_gpt":0.2789614382819397,"score_spread":0.2557526122785427,"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."}}