{"id":"W4220860894","doi":"10.51731/cjht.2022.290","title":"Electrospun Healing Fibres for the Management of Burns and Wounds","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Horizon; Operations management; Business; Health care; Medicine; Process management; Medical emergency; Knowledge management; Computer science; Engineering; Political science","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":[0.000592046,0.000067929,0.0002414869,0.0002345026,0.0005499378,0.000009744064,0.0001241961,0.00003032351,0.000007464689],"category_scores_gemma":[0.00003144058,0.00004666545,0.00005321582,0.0001748494,0.0001167322,0.00001837303,0.00002023739,0.0002442849,1.032895e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230841,"about_ca_system_score_gemma":0.0007754986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001731064,"about_ca_topic_score_gemma":0.0003194933,"domain_scores_codex":[0.9991733,0.00001891118,0.0003270139,0.00007697301,0.0001229208,0.0002809111],"domain_scores_gemma":[0.9994403,0.00006640271,0.000235217,0.0001469564,0.00005828366,0.00005285904],"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":[0.0002612296,0.00009700305,0.0206581,0.001497527,0.001033158,0.0002565554,0.001289743,0.00018697,0.00005051491,0.02078521,0.006557632,0.9473264],"study_design_scores_gemma":[0.006726745,0.01244773,0.05846155,0.001244887,0.0006181491,0.003113109,0.05826767,0.0002465354,0.00103698,0.03294952,0.8245675,0.0003196172],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4376761,0.3482101,0.002023145,0.2097118,0.0005607369,0.001437003,0.00008475129,0.00008203075,0.0002142894],"genre_scores_gemma":[0.9958157,0.001492479,0.002210677,0.0003360315,0.000007178582,0.00002536588,0.000002398422,0.000008621479,0.0001015801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9470068,"threshold_uncertainty_score":0.4229732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03278403749782005,"score_gpt":0.3111249747798966,"score_spread":0.2783409372820765,"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."}}