{"id":"W4282834074","doi":"10.1093/bioinformatics/btac391","title":"SPEAR: Systematic ProtEin AnnotatoR","year":2022,"lang":"en","type":"article","venue":"Bioinformatics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Réseau Québécois de Recherche sur les Médicaments","keywords":"Spear; Python (programming language); Computer science; Annotation; Documentation; Visualization; Computational biology; Data mining; Biology; Programming language; Artificial intelligence; Archaeology","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":[0.01051865,0.00523741,0.003501305,0.005802298,0.002176763,0.00505448,0.00586406,0.002401217,0.07935318],"category_scores_gemma":[0.02041075,0.003207959,0.003763566,0.005038343,0.001473681,0.005999698,0.007541218,0.006901969,0.1504753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380007,"about_ca_system_score_gemma":0.006538193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011017,"about_ca_topic_score_gemma":0.002477637,"domain_scores_codex":[0.9937125,0.001211362,0.001011166,0.001925299,0.001604377,0.0005352107],"domain_scores_gemma":[0.990613,0.003040489,0.00110594,0.002453993,0.002039185,0.0007473666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007990164,0.00008433047,0.001372127,0.004930392,0.0003574725,0.0003879576,0.0003580704,0.001255935,0.01078595,0.00578177,0.9290538,0.04483317],"study_design_scores_gemma":[0.0003721102,0.0001262664,0.001800053,0.001227705,0.0001725152,0.0007206695,0.0001183347,0.01139917,0.01574718,0.01660163,0.9514378,0.0002765633],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.001249678,0.001060915,0.1845962,0.0008783967,0.000871079,0.0006306547,0.2187903,0.5853475,0.006575334],"genre_scores_gemma":[0.008715995,0.001270539,0.2583529,0.001480259,0.0002428733,0.002102756,0.5681527,0.1521384,0.007543543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.07935318,"threshold_uncertainty_score":0.2654628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01109017857965561,"score_gpt":0.210496385831353,"score_spread":0.1994062072516974,"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."}}