{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008849868,0.00008212069,0.00008703293,0.00004981228,0.00002958271,0.000006106399,0.00006907177,0.00006500807,9.352449e-7],"category_scores_gemma":[0.00006034776,0.00008554757,0.00002601362,0.0001092869,0.00002087986,0.000001384171,0.00002791448,0.00006544265,0.000004477162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000467716,"about_ca_system_score_gemma":0.00003087487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006690076,"about_ca_topic_score_gemma":0.0002071668,"domain_scores_codex":[0.9994106,0.00003015607,0.0001460481,0.0002009931,0.00005826391,0.0001539121],"domain_scores_gemma":[0.9997541,0.000005816641,0.00004133048,0.0001282249,0.00005276451,0.00001773508],"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":[0.00005866665,0.00004127251,0.01659152,0.000002499638,0.000005426527,0.000002808854,0.0001588218,0.002016861,0.9790559,0.000783021,0.0001085814,0.001174638],"study_design_scores_gemma":[0.0004492291,0.0001103242,0.9929387,0.000009300246,0.00000256122,0.000005603154,0.00003352064,0.0005712394,0.002775738,0.002384871,0.0006089808,0.0001099195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960855,0.002666543,0.0003201778,0.0002233702,0.000165269,0.0001185665,0.00000260816,0.000002423249,0.0004155468],"genre_scores_gemma":[0.9988818,0.000109591,0.000470454,0.0003771855,0.0001092106,0.00000544538,0.00001106103,0.000003841164,0.00003136557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9763472,"threshold_uncertainty_score":0.3488528,"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."}}