{"id":"W1943393128","doi":"10.1111/nyas.12803","title":"Unconventional screening approaches for antibiotic discovery","year":2015,"lang":"en","type":"review","venue":"Annals of the New York Academy of Sciences","topic":"Click Chemistry and Applications","field":"Chemistry","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Drug discovery; Antibiotic resistance; Antimicrobial drug; Infectious disease (medical specialty); Antibiotics; Computational biology; Intensive care medicine; Medicine; Computer science; Disease; Biology; Bioinformatics; Microbiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001224671,0.001383441,0.001130163,0.004003408,0.0005591881,0.001472063,0.001614241,0.001221888,0.006330353],"category_scores_gemma":[0.0009946376,0.0006666467,0.0008192058,0.001988998,0.001392838,0.002725871,0.001749328,0.003138994,0.003995252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009552313,"about_ca_system_score_gemma":0.0009699026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005417118,"about_ca_topic_score_gemma":0.001357447,"domain_scores_codex":[0.998996,0.0001728255,0.00004796014,0.0001483406,0.0005488297,0.00008598955],"domain_scores_gemma":[0.9996244,0.0001724268,0.00004903952,0.00003931176,0.00008284774,0.00003198027],"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":[0.00009793721,0.0003510733,0.0002678702,0.01547287,0.0001674935,0.0006802402,0.0002349835,0.001304644,0.05073866,0.08382159,0.04292918,0.8039335],"study_design_scores_gemma":[0.00002497942,0.0002414127,0.0003915282,0.0008968134,0.00005617145,0.001237353,0.00005221444,0.0007921372,0.01948551,0.009778288,0.9669961,0.00004749814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002003412,0.9588964,0.01536455,0.0008944666,0.000912912,0.0001051143,0.0001177977,0.0001821971,0.02152311],"genre_scores_gemma":[0.0175559,0.961129,0.008776008,0.0008073531,0.0005474981,0.000132291,0.0001409851,0.0000241843,0.0108867],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006330353,"threshold_uncertainty_score":0.02117711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4360359056814045,"score_gpt":0.4245589453949265,"score_spread":0.01147696028647804,"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."}}