{"id":"W2017433972","doi":"10.1111/j.1558-5646.2009.00658.x","title":"EXTENSIVE VARIATION IN NATURAL COMPETENCE IN<i>HAEMOPHILUS INFLUENZAE</i>","year":2009,"lang":"en","type":"article","venue":"Evolution","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Killam Trusts","keywords":"Biology; DNA; Genetics; Natural selection; Gene; Haemophilus influenzae; Genetic variation; Competence (human resources); Bacteria; Selection (genetic algorithm)","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":[0.0004935325,0.0002412238,0.0002933829,0.0008459066,0.0002690327,0.0003639651,0.0003388077,0.0003767557,0.0005461273],"category_scores_gemma":[0.0009467013,0.0002442097,0.0002518352,0.0004064068,0.0004198894,0.0002073045,0.0005368968,0.0003806333,0.0001559955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451251,"about_ca_system_score_gemma":0.0001613703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521388,"about_ca_topic_score_gemma":0.002391231,"domain_scores_codex":[0.9993765,0.0002069269,0.00007137848,0.0001337372,0.0001117115,0.00009979467],"domain_scores_gemma":[0.9991405,0.0002921285,0.0002258792,0.0001038378,0.0001098478,0.0001278942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000160377,0.0000569159,0.01108472,0.0000319887,0.00004819094,0.000101773,0.0001564576,0.0001323058,0.9863164,0.00008512662,0.00003313075,0.001792594],"study_design_scores_gemma":[0.00002513034,0.001172588,0.7974967,0.00002049195,0.00009275664,0.002838143,0.0005378205,0.001210204,0.194479,0.0002530912,0.001806938,0.00006701787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990024,0.0001670359,0.0003198197,0.00001250496,0.00000166702,0.000008283452,0.0001420034,0.000007179452,0.0003391333],"genre_scores_gemma":[0.998804,0.0000751382,0.0005253494,0.00001583366,0.000001919506,0.00001288076,0.0003935042,0.000009714768,0.000161647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001521388,"threshold_uncertainty_score":0.003229618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006431098775308381,"score_gpt":0.2255411478106288,"score_spread":0.2191100490353204,"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."}}