{"id":"W2360845010","doi":"","title":"Clinical research of early allogeneic acellular dermal matrix on deep burn wound","year":2014,"lang":"en","type":"article","venue":"China Medical Herald","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Burn wound; Surgery; Transplantation; Wound healing","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":[],"consensus_categories":[],"category_scores_codex":[0.003164325,0.0001802008,0.0005811591,0.0001378172,0.0001464093,0.00001453818,0.0002382069,0.0004559297,0.0006965759],"category_scores_gemma":[0.001379716,0.00012737,0.0002070202,0.0002302613,0.0003895765,0.00002888256,0.00007882719,0.001224411,0.0003975177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007324108,"about_ca_system_score_gemma":0.0002553582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003212534,"about_ca_topic_score_gemma":0.00002930542,"domain_scores_codex":[0.9962235,0.0005446918,0.0006446138,0.0004284993,0.00160577,0.0005529149],"domain_scores_gemma":[0.9976659,0.000707791,0.00008275367,0.0005748475,0.0001290873,0.000839636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003491627,0.007450904,0.7449564,0.0009078447,0.0008518061,0.001823737,0.001325924,0.000013641,0.0007363894,0.01190201,0.008118381,0.2184214],"study_design_scores_gemma":[0.01582121,0.01347532,0.8914318,0.001526254,0.0002776257,0.0002271458,0.00006747051,0.003095668,0.001503374,0.007571705,0.06453637,0.0004660716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876466,0.0007420232,0.0003042395,0.005927739,0.0003400597,0.0003170013,0.000001949108,0.00005495833,0.004665468],"genre_scores_gemma":[0.9951096,0.0002201497,0.000652343,0.0007288405,0.0009756614,0.00001574678,0.00002706532,0.00003495246,0.002235638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2179553,"threshold_uncertainty_score":0.7627017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08502119074636834,"score_gpt":0.4588604274755,"score_spread":0.3738392367291317,"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."}}