{"id":"W2803161579","doi":"10.1016/j.resmic.2018.05.002","title":"Bacteriophage research – What we have learnt and what still needs to be addressed","year":2018,"lang":"en","type":"article","venue":"Research in Microbiology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Lysin; Bacteriophage; Genomics; Phage therapy; Genome; Ideal (ethics); Computational biology; Genetics; Epistemology; Gene; Escherichia coli","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002781309,0.0001982843,0.0002742892,0.0006856495,0.0003993935,0.0008041034,0.0006152958,0.0002540392,0.006815721],"category_scores_gemma":[0.0001695378,0.0001810096,0.00004584524,0.001075828,0.001748607,0.001452981,0.001763836,0.001082852,0.003195978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004668869,"about_ca_system_score_gemma":0.00005059259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001540424,"about_ca_topic_score_gemma":0.004989431,"domain_scores_codex":[0.9961953,0.001136602,0.0003220251,0.0007233215,0.0002074819,0.001415251],"domain_scores_gemma":[0.9984685,0.0005161469,0.00003587071,0.0005322084,0.0001232902,0.0003240407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001523529,0.0001020631,0.0002496609,0.0000133058,0.000009174038,0.00003421108,0.003971924,0.000002353882,0.9535115,0.00002361434,0.009716807,0.03221307],"study_design_scores_gemma":[0.0005237079,0.0009872084,0.009910819,0.0002851241,0.000002668855,0.0001410178,0.01251575,0.00002798304,0.1035813,0.0001377307,0.87161,0.0002766533],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814247,0.0007179108,0.000008321786,0.01560429,0.000434674,0.0006907997,0.00002234146,0.00002149524,0.001075475],"genre_scores_gemma":[0.9879621,0.005469815,0.0003626002,0.0008853106,0.0001944443,0.00008009773,0.0000280695,0.00003537918,0.004982174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8618932,"threshold_uncertainty_score":0.9975802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1234652126256292,"score_gpt":0.406254815624567,"score_spread":0.2827896029989377,"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."}}