{"id":"W2947667504","doi":"10.7150/jca.31699","title":"Bacteria in Cancer Therapeutics: A Framework for Effective Therapeutic Bacterial Screening and Identification","year":2019,"lang":"en","type":"review","venue":"Journal of Cancer","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Agriculture and Agri-Food Canada; Western University","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Cancer; The Renaissance; Medicine; Cancer therapy; Intensive care medicine; Identification (biology); Computational biology; Biology; Internal medicine","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":[0.002288624,0.001374016,0.001546881,0.003641773,0.0007348708,0.00231201,0.001359446,0.003349361,0.002277386],"category_scores_gemma":[0.001555942,0.0006401196,0.000787356,0.001888257,0.003230936,0.004721438,0.001797263,0.006960519,0.0019469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002770423,"about_ca_system_score_gemma":0.003219317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455845,"about_ca_topic_score_gemma":0.001829904,"domain_scores_codex":[0.998992,0.0003210562,0.0001051499,0.0001254456,0.0003564174,0.00009984318],"domain_scores_gemma":[0.9989719,0.0005803207,0.00008212429,0.00005318498,0.0002308895,0.00008146794],"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":[0.00008206187,0.0001743517,0.0002294771,0.0170508,0.00006419879,0.0004044621,0.000351477,0.001199292,0.007547283,0.1521718,0.04151815,0.7792065],"study_design_scores_gemma":[0.000007930954,0.00009339579,0.0001742128,0.002500576,0.00002569071,0.0003950362,0.00008714001,0.0001717717,0.001454698,0.0129946,0.9820719,0.00002302232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001257832,0.992231,0.001916715,0.002734474,0.0008014628,0.00001519537,0.00001741717,0.00002271926,0.002135369],"genre_scores_gemma":[0.001728881,0.9932729,0.002374188,0.001075508,0.0005046437,0.00002757793,0.00002299353,0.000006903916,0.0009864777],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003641773,"threshold_uncertainty_score":0.02010095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07004351636313393,"score_gpt":0.4480733085639758,"score_spread":0.3780297922008419,"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."}}