{"id":"W2047167945","doi":"10.1007/s00216-011-5555-5","title":"Pathogen detection using engineered bacteriophages","year":2011,"lang":"en","type":"review","venue":"Analytical and Bioanalytical Chemistry","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Armed Forces; Public Health Agency of Canada; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Identification (biology); Pathogen; Biology; Bacteriophage; Computational biology; Human pathogen; Microbiology; Nanotechnology; Bacteria; Gene; Genetics; Ecology; Materials science","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":[0.0007685008,0.001293316,0.001274806,0.001273891,0.0001775617,0.000919538,0.001003068,0.001127581,0.0006176261],"category_scores_gemma":[0.0006699332,0.0003912684,0.0004195271,0.001210019,0.0006237393,0.0009717863,0.0006808483,0.001661805,0.0008879881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006688802,"about_ca_system_score_gemma":0.000612743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006386839,"about_ca_topic_score_gemma":0.0008258046,"domain_scores_codex":[0.9997033,0.00003195944,0.00002371095,0.00007059905,0.0001383893,0.00003198423],"domain_scores_gemma":[0.9997544,0.0001031679,0.00003805065,0.0000114515,0.00007188231,0.00002109796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001029679,0.0001376381,0.0002471938,0.007032956,0.00007069993,0.0002166337,0.00006021693,0.000792409,0.06337642,0.005520449,0.009488785,0.9129537],"study_design_scores_gemma":[0.00003577418,0.0002238212,0.001109484,0.001293951,0.0001288053,0.001409795,0.00005655746,0.0008498337,0.05029962,0.003400286,0.9411286,0.00006358654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001427503,0.9937484,0.002749663,0.0001836188,0.0003249797,0.00001046261,0.00002151292,0.00002523241,0.001508628],"genre_scores_gemma":[0.004910491,0.9891137,0.002528869,0.0002592554,0.0001841154,0.0000217936,0.00007252524,0.000006275575,0.002902999],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001293316,"threshold_uncertainty_score":0.004853129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04009734700505056,"score_gpt":0.2838777057984124,"score_spread":0.2437803587933619,"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."}}