{"id":"W2736250812","doi":"10.1016/j.bpj.2017.06.004","title":"Antimicrobial Peptides in the Cross Hairs of Computer Simulations","year":2017,"lang":"en","type":"letter","venue":"Biophysical Journal","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Antimicrobial peptides; Antimicrobial; Computational biology; Chemistry; Biology; Microbiology","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":[0.0007401091,0.0004047901,0.0006631201,0.0003917067,0.0008451121,0.001148513,0.001485862,0.002279607,0.005394723],"category_scores_gemma":[0.008060756,0.0004447995,0.000474108,0.0003099142,0.001362163,0.001824774,0.001237515,0.002778601,0.0006977172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007166059,"about_ca_system_score_gemma":0.0003645042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361026,"about_ca_topic_score_gemma":0.001429025,"domain_scores_codex":[0.9996032,0.0001814543,0.00001496348,0.00005008185,0.0001025201,0.0000477621],"domain_scores_gemma":[0.9973041,0.001877531,0.000106414,0.000248235,0.0002217,0.0002420239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001081057,0.0002301601,0.002663205,0.0004301449,0.0001396912,0.002056157,0.0008093907,0.6213878,0.01884912,0.25747,0.0643358,0.03054747],"study_design_scores_gemma":[0.00009115117,0.00004086665,0.0003291263,0.00004669704,0.00001140835,0.0001050992,0.00003695488,0.9208002,0.002043502,0.07062064,0.005849262,0.00002512262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.6395845,0.006361492,0.1264973,0.1067174,0.01328876,0.0001369366,0.0007567936,0.001835436,0.1048213],"genre_scores_gemma":[0.9670756,0.00167289,0.0131168,0.006568341,0.002181872,0.0001311666,0.0001774214,0.0006031433,0.008472661],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.005394723,"threshold_uncertainty_score":0.01804715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058899585791614,"score_gpt":0.2710086499396829,"score_spread":0.2504196540817668,"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."}}