{"id":"W2270803733","doi":"","title":"Screening Afua To Find Exclusivity In Invasive Disease-Causing Haemophilus Influenzae Strains","year":2013,"lang":"en","type":"article","venue":"Journal of undergraduate research in Alberta","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Biology; Microbiology; Haemophilus influenzae; Serotype; Virulence; Virology; Gene; Pathogen; Primer (cosmetics); genomic DNA; Genetics; Antibiotics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001695688,0.0001987331,0.0002953465,0.0006967799,0.0001118845,0.0001548177,0.0004741714,0.0001394339,0.00001542159],"category_scores_gemma":[0.003680897,0.0001805363,0.0001107309,0.0006309453,0.0001337335,0.00005599738,0.0004855403,0.0009651183,0.0000318934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392975,"about_ca_system_score_gemma":0.0005157039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775614,"about_ca_topic_score_gemma":0.002688349,"domain_scores_codex":[0.9971077,0.0004871331,0.0007373751,0.0002484036,0.0007351707,0.0006842004],"domain_scores_gemma":[0.9981629,0.0003583952,0.0002429744,0.0003876462,0.0003740666,0.0004740106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001623961,0.001252393,0.5615558,0.0009436266,0.0004531047,0.0009262196,0.002337205,0.1210628,0.2540752,0.003539734,0.02042582,0.03180414],"study_design_scores_gemma":[0.01180603,0.004439181,0.8362939,0.005075507,0.00006386587,0.0008183051,0.001651037,0.03094803,0.01595197,0.07197697,0.01845265,0.002522535],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580016,0.0001441526,0.0008147893,0.03972086,0.0000778318,0.0004470692,0.000004106001,0.000002346621,0.000787251],"genre_scores_gemma":[0.9954951,0.0001753418,0.003184051,0.0003856329,0.0001800119,0.00001317765,0.00001123427,0.00003022137,0.0005251986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2747381,"threshold_uncertainty_score":0.7362056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873574769736726,"score_gpt":0.3558060305806437,"score_spread":0.3070702828832764,"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."}}