{"id":"W4241938108","doi":"","title":"Knowledge Discovery in Hepatitis C Virus Transgenic Mice","year":2004,"lang":"en","type":"book-chapter","venue":"NPARC","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Biological Sciences; Children's Hospital of Eastern Ontario","funders":"Health Canada","keywords":"Automatic summarization; Computer science; Cluster analysis; Knowledge extraction; Artificial intelligence; Identification (biology); Visualization; Data mining; Hepatitis C virus; Machine learning; Pattern recognition (psychology); Computational biology; Virus; Biology; Virology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004364841,0.0003239237,0.0003388969,0.001091284,0.0002000398,0.0008751925,0.0006996045,0.0003650897,0.001588891],"category_scores_gemma":[0.0007359048,0.0001739792,0.0005140028,0.0009438386,0.0004067311,0.001003746,0.0003675461,0.000642226,0.0007792951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437083,"about_ca_system_score_gemma":0.0004277428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009855152,"about_ca_topic_score_gemma":0.001661227,"domain_scores_codex":[0.9998347,0.00002752754,0.0000101211,0.00004152156,0.0000766099,0.000009539282],"domain_scores_gemma":[0.9997175,0.0001813368,0.00002124384,0.00003076498,0.00003302564,0.00001617235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001348714,0.000154569,0.002368105,0.0005914066,0.00008302752,0.001023751,0.0005104658,0.01072809,0.03779737,0.09286922,0.0375769,0.8161623],"study_design_scores_gemma":[0.00005388558,0.0002299262,0.0143328,0.0005547839,0.0001382427,0.0039122,0.0004666436,0.1382134,0.07885685,0.4660964,0.2970592,0.00008573625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1261777,0.01707345,0.7678331,0.008149014,0.0002336419,0.0001649589,0.004043307,0.003159344,0.07316551],"genre_scores_gemma":[0.2322139,0.01448499,0.7023376,0.001544843,0.000168406,0.000196151,0.007428878,0.000223765,0.04140155],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001588891,"threshold_uncertainty_score":0.005315363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562014533447979,"score_gpt":0.2510228161387876,"score_spread":0.2354026708043079,"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."}}