{"id":"W1524495923","doi":"10.1037/e451822006-001","title":"Bi-Layer Wound Dressing System for Combat Casualty Care","year":2004,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Layer (electronics); Medicine; Materials science; Composite material","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002377258,0.0007072403,0.001111962,0.0002883491,0.0004555674,0.0001645842,0.0003826553,0.0006681787,0.0001128361],"category_scores_gemma":[0.00006411943,0.0005978994,0.0002409545,0.0001892457,0.0001083874,0.000104925,0.00009568191,0.0006298651,0.0006305825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009937667,"about_ca_system_score_gemma":0.000749911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002851774,"about_ca_topic_score_gemma":0.0007006103,"domain_scores_codex":[0.9968544,0.0000659877,0.0007097882,0.001005033,0.0006033957,0.0007614176],"domain_scores_gemma":[0.9968714,0.0001445012,0.0003513507,0.002015322,0.0001674478,0.0004499806],"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":[0.0003255909,0.0003666629,0.00004029582,0.008853078,0.000437108,0.0005945558,0.00005139455,0.000003505091,0.000008596682,0.00001168061,0.988861,0.0004465291],"study_design_scores_gemma":[0.005344824,0.0004562212,0.00006920929,0.002761703,0.002171104,0.000550921,0.0003409049,0.000003487517,0.00006713857,0.00001284076,0.9877136,0.0005080144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001851248,0.003186293,0.00003612613,0.0001780273,0.001567284,0.001859889,0.9928226,0.0001188285,0.00004581246],"genre_scores_gemma":[0.001029875,0.0001440823,0.0007903408,0.0004526228,0.0009887897,0.0002858632,0.9961656,0.00008515916,0.00005768085],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006091374,"threshold_uncertainty_score":0.9996473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06998938762792745,"score_gpt":0.3918479375008692,"score_spread":0.3218585498729417,"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."}}