{"id":"W75054781","doi":"10.1007/978-0-387-69321-7_4","title":"Molecular Subtypes of Cancer from Gene Expression Profiling","year":2007,"lang":"en","type":"book-chapter","venue":"Cancer treatment and research","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Gene expression profiling; Profiling (computer programming); Gene; Biology; Gene expression; Computational biology; Cancer research; Genetics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003950263,0.0004334747,0.0007409542,0.001590781,0.00017195,0.001099434,0.0006338786,0.0002895443,0.002519692],"category_scores_gemma":[0.0004176274,0.0002636083,0.0003930053,0.001595606,0.0003504129,0.0008437166,0.0004475035,0.001198615,0.002022422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003199208,"about_ca_system_score_gemma":0.0003022441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007767114,"about_ca_topic_score_gemma":0.001597168,"domain_scores_codex":[0.9998801,0.000014711,0.000007394096,0.00002555393,0.00005945248,0.00001275715],"domain_scores_gemma":[0.9999003,0.00004531469,0.000008886492,0.00001803314,0.00001926673,0.000008037132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00016584,0.00005666342,0.006977028,0.0006773517,0.00007500349,0.0003647545,0.0002337198,0.002336868,0.0777344,0.03784551,0.03552814,0.8380048],"study_design_scores_gemma":[0.00001713142,0.0001098005,0.03556685,0.0003805438,0.0002495971,0.005789572,0.0003894558,0.0141095,0.05682319,0.1544619,0.7320358,0.00006667142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07492916,0.2233549,0.5452637,0.00500922,0.001585343,0.0004047795,0.01543505,0.003813428,0.1302044],"genre_scores_gemma":[0.3002447,0.1825069,0.3687914,0.001902417,0.001341888,0.0005137314,0.02865454,0.001113374,0.1149312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002519692,"threshold_uncertainty_score":0.008429229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08597824244566714,"score_gpt":0.3951575529501545,"score_spread":0.3091793105044873,"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."}}