{"id":"W4402980668","doi":"10.26685/urncst.673","title":"Exploring the Potential of Antisense Technologies to Enhance Traditional Antifungal Treatments for Candida albicans Biofilms","year":2024,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Queen's University; McGill University Health Centre; University of Calgary","funders":"","keywords":"Biofilm; Candida albicans; Antifungal; Microbiology; Antifungal drugs; Biology; Bacteria; Genetics","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":[0.0002587319,0.0004297016,0.0002916855,0.0002475421,0.0001228207,0.0003884166,0.0002294487,0.0004685851,0.0008796926],"category_scores_gemma":[0.0002507159,0.0001485784,0.0003756817,0.0001012868,0.0001700641,0.0003764334,0.000213102,0.000573495,0.0001920249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229826,"about_ca_system_score_gemma":0.0002126841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003783337,"about_ca_topic_score_gemma":0.0007797725,"domain_scores_codex":[0.9998758,0.00002288737,0.000009302154,0.00002762445,0.00003835472,0.00002604089],"domain_scores_gemma":[0.9998988,0.00003851656,0.00002484481,0.00000643591,0.00002003623,0.00001138913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005402559,0.00004581998,0.00006814459,0.0001458388,0.00000665446,0.00002618079,0.00001658749,0.0003062969,0.9928134,0.0001903742,0.00006479609,0.006262069],"study_design_scores_gemma":[0.00002438849,0.001478827,0.0008489616,0.00002254444,0.00005067722,0.0001127353,0.00004280117,0.001998961,0.9896244,0.00015817,0.005623195,0.0000142715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436203,0.02008338,0.02963065,0.0007673037,0.0003247444,0.0002334547,0.000399921,0.0002056952,0.004734485],"genre_scores_gemma":[0.9594612,0.01243111,0.0243472,0.0003431739,0.00007075553,0.0001926033,0.0002077413,0.00003496252,0.002911072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008796926,"threshold_uncertainty_score":0.00294292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038148170899919,"score_gpt":0.3941386280812065,"score_spread":0.2903238109912146,"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."}}