{"id":"W1977902828","doi":"10.1155/2008/472719","title":"Unsupervised Learning in Detection of Gene Transfer","year":2008,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Aeronautics and Space Administration","keywords":"Tree of life (biology); Genome; Organism; Tree (set theory); Horizontal gene transfer; Biology; Evolutionary biology; Gene; Genomics; Phylogenetic tree; Representation (politics); Computational biology; Computer science; Artificial intelligence; Genetics; Mathematics","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":[0.0003154315,0.00005185538,0.00006438306,0.0001847489,0.00005978832,0.000004122476,0.0001526043,0.00005888525,0.00001729473],"category_scores_gemma":[0.0000937851,0.00005042855,0.00004041125,0.0001381588,0.000134476,6.930328e-7,0.0000513575,0.00009738353,0.000004243702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001974539,"about_ca_system_score_gemma":0.00005326992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008380962,"about_ca_topic_score_gemma":0.00005098584,"domain_scores_codex":[0.9992329,0.00007424565,0.0001412127,0.0001646604,0.0002341798,0.0001527941],"domain_scores_gemma":[0.9996668,0.00001753067,0.00001112722,0.00008290445,0.0001905179,0.00003117818],"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":[0.00008818271,0.00004783829,0.01332203,0.000003759017,0.00003457141,0.000003443275,0.0001306123,0.00007086998,0.9841127,0.00001864857,0.0000523988,0.002114936],"study_design_scores_gemma":[0.000576826,0.0001963872,0.1101334,0.000004377708,8.487921e-7,0.00001187339,0.00008628664,0.000195759,0.8672258,0.00003248775,0.02147529,0.00006072849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976942,0.0004260318,0.0004920983,0.0001253054,0.0001767046,0.00008353972,0.000009971493,0.000001468247,0.0009907129],"genre_scores_gemma":[0.9983559,0.0007508111,0.0001890172,0.000009613668,0.0001725086,0.00001989477,0.00002599104,0.000007617588,0.0004686225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1168869,"threshold_uncertainty_score":0.2056416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746774394637649,"score_gpt":0.3242064798621847,"score_spread":0.2667387359158082,"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."}}