{"id":"W1909023034","doi":"10.3968/2920","title":"Special Topic: ADVANCES IN STATISTICAL METHODS","year":2012,"lang":"en","type":"article","venue":"Progress in applied mathematics","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Statistical analysis; Data science; Observational study; Outlier; Data mining; Statistics; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01124029,0.00265135,0.003826444,0.006724677,0.001320847,0.006892976,0.002513598,0.004891162,0.04954817],"category_scores_gemma":[0.03931921,0.0009422559,0.002576542,0.004557329,0.001869235,0.004780211,0.00220468,0.007712018,0.03988237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002017101,"about_ca_system_score_gemma":0.002307816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004142245,"about_ca_topic_score_gemma":0.0005127268,"domain_scores_codex":[0.9913469,0.002555612,0.001195263,0.001400017,0.003123841,0.0003784558],"domain_scores_gemma":[0.9582936,0.02182391,0.001978262,0.002805644,0.01200605,0.003092604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006071571,0.00005160916,0.000248411,0.0006762445,0.00006810272,0.0001050114,0.00003191162,0.0002862467,0.0002084816,0.007247224,0.9191446,0.07187152],"study_design_scores_gemma":[0.0000408874,0.0001491737,0.001055009,0.0005983851,0.0000751413,0.0007544974,0.00004445428,0.002153459,0.0002897727,0.0300336,0.964758,0.0000476357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"methods","genre_scores_codex":[0.0005455283,0.0795338,0.0264365,0.03224345,0.8333445,0.0001547652,0.0007719728,0.0009330623,0.02603641],"genre_scores_gemma":[0.004738895,0.04591537,0.01062637,0.01151103,0.8898702,0.0002637536,0.001233648,0.0009895765,0.03485115],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04954817,"threshold_uncertainty_score":0.1657551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267447957564701,"score_gpt":0.3768300785846299,"score_spread":0.3541555990089829,"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."}}