{"id":"W2067527491","doi":"10.1007/s10549-013-2593-z","title":"ROCK: a resource for integrative breast cancer data analysis","year":2013,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Breast cancer; Resource (disambiguation); Computational biology; Computer science; Annotation; microRNA; Cancer; Bioinformatics; Biology; Data mining; Gene; Genetics","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":[0.005709125,0.002224875,0.002441896,0.006050547,0.00100248,0.00332412,0.004057811,0.0008805333,0.06872442],"category_scores_gemma":[0.02064795,0.001269147,0.002245749,0.0058995,0.0006166703,0.002051459,0.003591194,0.002364958,0.03814106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000901336,"about_ca_system_score_gemma":0.004166363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00449438,"about_ca_topic_score_gemma":0.01004948,"domain_scores_codex":[0.9973827,0.0004869774,0.000510318,0.0007130664,0.0007117969,0.0001950917],"domain_scores_gemma":[0.9901446,0.0045389,0.0007070098,0.002987703,0.001099664,0.0005221116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001866815,0.0002066444,0.00914454,0.006786656,0.002074985,0.0008896155,0.0007775509,0.006340687,0.03043362,0.0184263,0.8008866,0.122166],"study_design_scores_gemma":[0.0009114094,0.0001896575,0.008695612,0.0009535244,0.001473207,0.001278811,0.0004833277,0.04121849,0.03722146,0.03573208,0.8715051,0.0003374033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.004988383,0.001318715,0.1575982,0.0006550946,0.0002630219,0.0005705048,0.6183799,0.2072621,0.008964001],"genre_scores_gemma":[0.02721318,0.001408563,0.2545193,0.0005705622,0.000140682,0.002542741,0.6724194,0.03673269,0.004452876],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.06872442,"threshold_uncertainty_score":0.2299061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06464139213229035,"score_gpt":0.3899111970555987,"score_spread":0.3252698049233083,"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."}}