{"id":"W4323042362","doi":"10.30886/estima.v21.1260_in","title":"COMPUTER SYSTEMS TO AID IN WOUND HEALING: SCOPE REVIEW","year":2023,"lang":"en","type":"article","venue":"Revista Estima","topic":"Healthcare during COVID-19 Pandemic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Scope (computer science); Economic shortage; Wound care; Health care; Medicine; Sample (material); Health professionals; Healthcare system; Nursing; Computer science; Intensive care medicine","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":[0.001969885,0.0007483602,0.001598826,0.006594012,0.0004032583,0.002024769,0.0008207067,0.001480668,0.005406397],"category_scores_gemma":[0.01092441,0.0003597128,0.001572523,0.006960921,0.0006373598,0.001641034,0.000852572,0.0007404819,0.0007714207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001094221,"about_ca_system_score_gemma":0.005246262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003106309,"about_ca_topic_score_gemma":0.004328457,"domain_scores_codex":[0.998373,0.0004300191,0.0005121431,0.0001480275,0.0004512806,0.00008548278],"domain_scores_gemma":[0.9865494,0.01038186,0.001329117,0.0001490854,0.001449573,0.0001409769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001476183,0.00006952618,0.0008687653,0.479973,0.0007691558,0.0001793564,0.0002860355,0.0003187784,0.0004422736,0.002146862,0.01646233,0.4983363],"study_design_scores_gemma":[0.00005982054,0.0003185265,0.005709126,0.5327715,0.004570342,0.001538381,0.0006278491,0.0001839807,0.000534965,0.001600184,0.452043,0.00004229805],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00019581,0.9986578,0.00007945154,0.0002337291,0.0001356709,0.00002627796,0.00004063859,0.000003920424,0.0006266709],"genre_scores_gemma":[0.00186689,0.9974065,0.0001928931,0.0002082206,0.0001192191,0.00003324759,0.00003504389,0.000001848012,0.0001359564],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006594012,"threshold_uncertainty_score":0.01808625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06447582978981073,"score_gpt":0.3664701986958035,"score_spread":0.3019943689059927,"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."}}