{"id":"W2939445306","doi":"10.1002/bit.26989","title":"Whole‐bacterium ribosome display selection for isolation of highly specific anti‐<i>Staphyloccocus aureus</i> Affitins for detection‐ and capture‐based biomedical applications","year":2019,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche; Institut national de la recherche scientifique","keywords":"Staphylococcus aureus; Phage display; Bacteria; Antibody; Thermostability; Biology; Computational biology; Dot blot; Microbiology; Chemistry; Biochemistry; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006046844,0.0001135118,0.0001384294,0.0001099099,0.0001002694,0.00001581208,0.00006346546,0.0002476257,0.00001812769],"category_scores_gemma":[0.000005953506,0.0001070228,0.00004074589,0.0001948083,0.0001260301,0.00009644442,0.00003535611,0.0001034407,0.00000539669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003764283,"about_ca_system_score_gemma":0.000004044474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001932282,"about_ca_topic_score_gemma":0.00002727656,"domain_scores_codex":[0.9993726,0.000004330465,0.0001642255,0.0002546929,0.0000352582,0.0001689147],"domain_scores_gemma":[0.9997331,0.00004105929,0.00006895904,0.0001078203,0.00001212351,0.00003693012],"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":[0.00002228421,0.00003323582,0.0003349305,0.00004937272,0.00001193491,4.643464e-8,0.00001273328,0.00008883074,0.9968119,0.0001505291,0.00002708758,0.002457122],"study_design_scores_gemma":[0.0006192875,0.0002839,0.01554409,0.00002359467,0.00003219424,0.00001623256,0.00003782909,0.0166911,0.8580917,0.00003378504,0.1084261,0.0002001273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6989006,0.00005782821,0.2996406,0.0005661392,0.0001313504,0.0005219827,0.0001041007,0.00007063783,0.000006668475],"genre_scores_gemma":[0.9919838,0.0000330534,0.007734166,0.00002071004,0.00003967609,0.00009095214,0.00003935624,0.00001284319,0.00004542306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2930832,"threshold_uncertainty_score":0.4364263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004076464280100456,"score_gpt":0.1971975776544058,"score_spread":0.1931211133743053,"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."}}