{"id":"W6992934553","doi":"","title":"NEXT-GENERATION SEQUENCING AND MOTIF GRAFTING APPLICATIONS IN SYNTHETIC ANTIBODY DISCOVERY","year":2017,"lang":"en","type":"dissertation","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Western Economic Diversification Canada; Canadian Institutes of Health Research; University of Toronto; Canadian Light Source","keywords":"Antibody; Motif (music); Drug discovery; DNA sequencing; Peptide sequence; Sequence motif; Sequence (biology); DNA; Cell culture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001497758,0.0005879354,0.0004767755,0.0006710162,0.00044358,0.000877039,0.0006914368,0.0007481623,0.00410349],"category_scores_gemma":[0.001917704,0.0005106703,0.0006706738,0.0009284393,0.0003293825,0.0006536909,0.0006307139,0.001326955,0.001408677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006104533,"about_ca_system_score_gemma":0.0009919986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002354568,"about_ca_topic_score_gemma":0.005516628,"domain_scores_codex":[0.9994815,0.0001735783,0.00002115655,0.0001011347,0.000173846,0.00004876214],"domain_scores_gemma":[0.9994192,0.0003458964,0.00003310391,0.0000654211,0.0001005513,0.0000358504],"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":[0.0004570711,0.0002390704,0.002091502,0.0003297895,0.0001251769,0.0001065821,0.0001350633,0.02147064,0.6381036,0.01314068,0.007686039,0.3161147],"study_design_scores_gemma":[0.00007929857,0.00028317,0.002493844,0.00003994051,0.00008140321,0.0002607787,0.00005236824,0.3072444,0.6469305,0.01396426,0.02851154,0.00005844211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09463178,0.002569528,0.8832985,0.0007497389,0.0002577722,0.0002570392,0.001296501,0.009049301,0.007889875],"genre_scores_gemma":[0.1412802,0.001588536,0.8486318,0.0004837788,0.00005276253,0.0003077307,0.001530628,0.000427809,0.0056968],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00410349,"threshold_uncertainty_score":0.01372749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315327136281006,"score_gpt":0.1983822725474136,"score_spread":0.1852290011846036,"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."}}