{"id":"W2518774310","doi":"10.1146/annurev-food-041715-033235","title":"From Bits and Pieces to Whole Phage to Nanomachines: Pathogen Detection Using Bacteriophages","year":2017,"lang":"en","type":"review","venue":"Annual Review of Food Science and Technology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta; University of Guelph","funders":"","keywords":"Phage display; Computational biology; Bacteriophage; Biology; Robustness (evolution); Gene; Nanotechnology; Genetics; Escherichia coli; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005151083,0.0008430335,0.0009709127,0.002477191,0.0003394979,0.001271322,0.0006841338,0.001147829,0.00405254],"category_scores_gemma":[0.0006119072,0.0003698473,0.0005553105,0.002002779,0.0006899103,0.001960373,0.0007548001,0.001723051,0.002650852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005957244,"about_ca_system_score_gemma":0.000851321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000794507,"about_ca_topic_score_gemma":0.001339235,"domain_scores_codex":[0.9997147,0.00003684154,0.000031534,0.00004960716,0.0001357775,0.00003157529],"domain_scores_gemma":[0.9997687,0.0001105866,0.00002570011,0.000009711509,0.00006607133,0.00001925171],"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":[0.00006877643,0.000112802,0.000410647,0.02539979,0.00006890984,0.0003189357,0.0002532832,0.0003786992,0.01743721,0.01115439,0.03110186,0.9132948],"study_design_scores_gemma":[0.000005574474,0.00008874394,0.0004845047,0.001563305,0.00002927866,0.000862323,0.00008721625,0.00006356037,0.003229713,0.002006701,0.99156,0.00001906198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003962985,0.9958519,0.0004151298,0.0003474823,0.0004134055,0.000007120666,0.00002249825,0.00001922253,0.002526909],"genre_scores_gemma":[0.001878841,0.9946554,0.0005252064,0.0003440227,0.0002208196,0.0000106767,0.00003951261,0.000005464435,0.002320215],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00405254,"threshold_uncertainty_score":0.01355714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03081695805624248,"score_gpt":0.3500100553675565,"score_spread":0.319193097311314,"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."}}