{"id":"W6903466948","doi":"10.11575/prism/26581","title":"Integrating Text Mining, Data Mining, and Network Analysis to Analyze Biomarker Trends in Prostate Cancer and Breast Cancer","year":2016,"lang":"en","type":"other","venue":"PRISM (University of Calgary)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Calgary","keywords":"Prostate cancer; Breast cancer; Disease; Biomarker; Network analysis; Cancer; Biomarker discovery; Genetic data; Gene; Gene regulatory network","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001673916,0.0003405425,0.000313568,0.007970949,0.0004428888,0.001465518,0.000481759,0.0002647848,0.001663917],"category_scores_gemma":[0.005134569,0.0001357186,0.0005683968,0.007639336,0.0001737707,0.001186025,0.0005738887,0.0004806366,0.0007185843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000837305,"about_ca_system_score_gemma":0.00118974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123947,"about_ca_topic_score_gemma":0.02350493,"domain_scores_codex":[0.9993442,0.000204337,0.00008877006,0.00011142,0.0002051739,0.00004621561],"domain_scores_gemma":[0.996707,0.002114076,0.0004430524,0.0001583636,0.0004829032,0.0000946197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003036398,0.0004617423,0.1793117,0.00092427,0.0004747002,0.0008452597,0.0007260215,0.02832659,0.004840603,0.006482741,0.01552851,0.7617742],"study_design_scores_gemma":[0.00008277952,0.0002846679,0.2057846,0.0006870249,0.0007340212,0.0009032892,0.002840595,0.6500936,0.01705297,0.04797204,0.0734589,0.0001055436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6582922,0.008853736,0.2551827,0.007664185,0.0002842744,0.0009472787,0.03630247,0.004603342,0.02786978],"genre_scores_gemma":[0.5997925,0.004729199,0.3631961,0.0003096131,0.0001250574,0.0003860808,0.02551064,0.0002137811,0.005737003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01123947,"threshold_uncertainty_score":0.02234811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487794440305552,"score_gpt":0.2594770442942079,"score_spread":0.2445990998911524,"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."}}