{"id":"W7132497936","doi":"","title":"Disentangled wasserstein autoencoder for T-cell receptor engineering","year":2023,"lang":"en","type":"article","venue":"NPARC","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoencoder; Process (computing); Domain (mathematical analysis); Sequence (biology); Function (biology); Protein engineering; Baseline (sea)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006526666,0.0008846557,0.0006284006,0.0002907025,0.0001443178,0.0004646879,0.0007746791,0.0008893543,0.0009124381],"category_scores_gemma":[0.001656953,0.0004042782,0.0006192178,0.000272647,0.0005068606,0.0007904047,0.0006809495,0.001591147,0.000448055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005565062,"about_ca_system_score_gemma":0.0006982576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090232,"about_ca_topic_score_gemma":0.003975803,"domain_scores_codex":[0.999715,0.00007043263,0.00001630263,0.00007743276,0.00008351242,0.00003718203],"domain_scores_gemma":[0.9994966,0.0002802809,0.00006015506,0.00005269975,0.0000834079,0.00002681164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000965298,0.00005840374,0.0003504293,0.00005428388,0.0000475565,0.00007271001,0.00003353314,0.8800724,0.0263768,0.004755498,0.0008255101,0.08725633],"study_design_scores_gemma":[0.000001904574,0.00001039239,0.00002919041,0.000001478604,0.000002713195,0.000006421095,0.000001094079,0.9968686,0.001963274,0.0009546969,0.0001582406,0.000002107385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01752397,0.0002508558,0.9805846,0.0001112351,0.00002467109,0.0000138813,0.00004745995,0.0008270814,0.0006161982],"genre_scores_gemma":[0.6227636,0.0004072989,0.3700845,0.0002777933,0.00004649836,0.0001126378,0.0005805201,0.0002785985,0.005448575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003090232,"threshold_uncertainty_score":0.006144464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007328098056756645,"score_gpt":0.2677549627467119,"score_spread":0.2604268646899552,"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."}}