{"id":"W2418092431","doi":"10.1385/1-59259-372-0:299","title":"Application of Gene Microarrays in the Study of Prostate Cancer","year":2003,"lang":"en","type":"article","venue":"Humana Press eBooks","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver General Hospital","funders":"","keywords":"DNA microarray; Biology; Microarray; Gene expression; Gene; Computational biology; Cancer; Gene expression profiling; Complementary DNA; Microarray analysis techniques; microRNA; Cancer research; Genetics; Bioinformatics","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":[0.0009776442,0.0002774191,0.0003768956,0.0009610004,0.0003320698,0.0004757568,0.0003467539,0.0005771731,0.0009788694],"category_scores_gemma":[0.000640759,0.0002186841,0.0002644044,0.001029071,0.0004235844,0.0002694319,0.000326209,0.0009078952,0.0007966343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004377692,"about_ca_system_score_gemma":0.0004447156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007041597,"about_ca_topic_score_gemma":0.001067354,"domain_scores_codex":[0.9993877,0.0002889282,0.00002304331,0.00009106784,0.0001502099,0.00005900133],"domain_scores_gemma":[0.9997571,0.0001114635,0.00002445859,0.00003453088,0.00004097027,0.00003143859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002081754,0.0001024515,0.002684963,0.0003890034,0.00005641634,0.0002760036,0.00008329561,0.001068446,0.9163062,0.004501444,0.003011687,0.071312],"study_design_scores_gemma":[0.0001486573,0.001975156,0.08257249,0.0002608694,0.000292495,0.004486082,0.0004277358,0.01182517,0.5500134,0.01727892,0.3306054,0.0001136192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3091487,0.2886235,0.3395265,0.009900531,0.002593735,0.001121574,0.005799572,0.002238335,0.04104734],"genre_scores_gemma":[0.6030177,0.1006791,0.2812417,0.002321415,0.001065444,0.00126756,0.002503887,0.00006255453,0.007840584],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0009788694,"threshold_uncertainty_score":0.005170345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263324231090773,"score_gpt":0.2981744762453415,"score_spread":0.2755412339344337,"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."}}