{"id":"W6976690923","doi":"10.60692/hsxje-h4j60","title":"MULTI-LOCUS SEQUENCE TYPING AND PHYLOGENETICS OF CRYPTOCOCCUS NEOFORMANS AD HYBRIDS","year":2024,"lang":"en","type":"article","venue":"Greater South Information System","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Hybrid; Cryptococcus neoformans; Ploidy; Allele; Loss of heterozygosity; Phylogenetic tree; Genetic diversity; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003043669,0.0001468713,0.0001757376,0.0003730201,0.0001037089,0.0002318858,0.0005443344,0.00008374715,0.000001049332],"category_scores_gemma":[0.00001965151,0.0001287211,0.0000453294,0.0003306243,0.00008738242,0.0007667439,0.0002807125,0.0001090688,0.0001622569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009505788,"about_ca_system_score_gemma":0.0000620606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002445452,"about_ca_topic_score_gemma":1.295977e-7,"domain_scores_codex":[0.9989302,0.0000268645,0.0004702962,0.0001757183,0.0001840604,0.0002128784],"domain_scores_gemma":[0.9991959,0.00001227846,0.000155263,0.000480222,0.0001095427,0.00004683991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003901116,0.00001405482,0.0303419,0.01158866,0.0003279936,0.00009383839,0.6489307,0.005060656,0.001369721,0.03525971,0.001622318,0.2653514],"study_design_scores_gemma":[0.0004591515,0.0001135195,0.006977648,0.0009988558,0.00001772459,0.0002180867,0.002196152,0.9781979,0.004259855,0.00003304976,0.006101218,0.0004268891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2224052,0.00007751786,0.7751388,0.00006022168,0.0006736751,0.0002195283,0.00001113575,0.001055199,0.0003587324],"genre_scores_gemma":[0.952141,7.235589e-7,0.0477549,0.00002734332,0.00001251158,0.00001582464,0.00000108214,0.000005659613,0.00004093063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9731372,"threshold_uncertainty_score":0.5249093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04795029010448517,"score_gpt":0.2360521932643023,"score_spread":0.1881019031598171,"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."}}