{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001992898,0.0002117583,0.0005504134,0.0003148138,0.00009479136,0.000300835,0.001140323,0.00007285507,0.000003768103],"category_scores_gemma":[0.0003478208,0.0002066421,0.00006863487,0.002404471,0.00002165738,0.0002347063,0.0004804668,0.000261512,0.001760157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003247928,"about_ca_system_score_gemma":0.0004294305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003286969,"about_ca_topic_score_gemma":0.00001046515,"domain_scores_codex":[0.9972859,0.0002991581,0.0006840865,0.0007018389,0.0004092982,0.0006197333],"domain_scores_gemma":[0.9980537,0.0003027853,0.0001111117,0.001113532,0.00009567144,0.0003232296],"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":[0.00002449414,0.000180942,0.01707869,0.07233277,0.00005904942,0.00225693,0.001552151,0.02177113,0.0002205464,0.07357272,0.4763226,0.334628],"study_design_scores_gemma":[0.0004228316,0.0001760408,0.007689371,0.02777072,0.000008688133,0.0001135868,0.000003776154,0.1517348,0.00001013301,0.00008225635,0.8113695,0.00061825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03758292,0.09025402,0.8104576,0.04746675,0.004278558,0.005918887,0.00002075042,0.003225936,0.0007945741],"genre_scores_gemma":[0.5167965,0.05017548,0.2888685,0.1317926,0.005065896,0.001824082,0.0001475417,0.0004992698,0.004830164],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5215892,"threshold_uncertainty_score":0.9990171,"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."}}