{"id":"W2413904235","doi":"10.1007/978-1-62703-161-5_35","title":"Methods to Study Legionella Transcriptome In Vitro and In Vivo","year":2012,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Microarray; Transcriptome; Virulence; DNA microarray; Legionella; Biology; Legionella pneumophila; Computational biology; Microarray analysis techniques; Gene chip analysis; Gene; Genetics; Gene expression; Bacteria","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":[0.001435099,0.001676881,0.001015412,0.001360662,0.00110751,0.001039404,0.0009702131,0.001051522,0.005253526],"category_scores_gemma":[0.0009076612,0.00103333,0.001289824,0.001193728,0.000821398,0.000789709,0.0009526305,0.003044668,0.006617474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006390985,"about_ca_system_score_gemma":0.0009035221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009349493,"about_ca_topic_score_gemma":0.002905487,"domain_scores_codex":[0.9985109,0.0002692556,0.0001905768,0.0004081508,0.0004755517,0.0001455296],"domain_scores_gemma":[0.9990525,0.0002441627,0.0001644032,0.0002942332,0.0001620475,0.00008267803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003963619,0.00003381609,0.000110405,0.0001901871,0.000008884964,0.00003099584,0.00002857317,0.0001028108,0.9951567,0.0003221034,0.0002903976,0.003685457],"study_design_scores_gemma":[0.00007190595,0.000345122,0.003963232,0.00008811487,0.00007418996,0.0004208117,0.00008523429,0.001246815,0.9230945,0.001072154,0.06945908,0.00007887395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05622961,0.01310875,0.8946195,0.001721055,0.001758064,0.003148701,0.01206955,0.00396359,0.01338127],"genre_scores_gemma":[0.1049934,0.01681539,0.8179666,0.001692928,0.0004494639,0.0131074,0.02142927,0.001219531,0.02232595],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005253526,"threshold_uncertainty_score":0.01757479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366341499997072,"score_gpt":0.4352254808948586,"score_spread":0.3985913308951514,"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."}}