{"id":"W4383501139","doi":"10.1101/2023.07.07.547075","title":"SPAT: Surface Protein Annotation Tool","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hôpital Maisonneuve-Rosemont; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Institut de Valorisation des Données; Canada First Research Excellence Fund; Université de Montréal; Government of Canada; Génome Québec; Compute Canada; Canadian Institutes of Health Research; Genome Canada","keywords":"Annotation; In silico; Computer science; Computational biology; USable; Surface (topology); Surface protein; Gene; Artificial intelligence; Biology; Biochemistry; Mathematics; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001700054,0.003478189,0.001259441,0.005354373,0.001061724,0.00209995,0.001614178,0.001349862,0.02166865],"category_scores_gemma":[0.005993462,0.0009490309,0.002286206,0.003760178,0.0004146773,0.001984513,0.002219361,0.001763338,0.02339846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006122073,"about_ca_system_score_gemma":0.001401279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199808,"about_ca_topic_score_gemma":0.00112506,"domain_scores_codex":[0.9988285,0.0001772987,0.0001595797,0.0003399642,0.0003886975,0.0001060915],"domain_scores_gemma":[0.9978923,0.0009213872,0.0002984226,0.0003378953,0.0004215757,0.000128408],"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":[0.002219026,0.0003122297,0.01364627,0.005596034,0.0004834636,0.001952791,0.0006258406,0.01287219,0.05184459,0.01040551,0.6879499,0.2120921],"study_design_scores_gemma":[0.000589531,0.0004568482,0.01682709,0.0009352119,0.0002973593,0.002891514,0.000470523,0.2277911,0.110935,0.03808816,0.6003224,0.0003953987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01742257,0.0008464074,0.3357078,0.0005186914,0.0004375762,0.0003720914,0.1906751,0.4489126,0.005107278],"genre_scores_gemma":[0.07312653,0.0009255242,0.3160354,0.0005102157,0.0001525855,0.001176508,0.5681275,0.03358523,0.006360571],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.02166865,"threshold_uncertainty_score":0.07248884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577430963544602,"score_gpt":0.2481638858878699,"score_spread":0.2323895762524239,"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."}}