{"id":"W2135286435","doi":"10.1109/ccece.2003.1226177","title":"A projection method for the visualization of high-dimensional biomedical datasets","year":2004,"lang":"en","type":"article","venue":"","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Visualization; Projection (relational algebra); Software; Data mining; Implementation; Process (computing); Interface (matter); Data visualization; Algorithm; Software engineering; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002379104,0.001519878,0.0008486996,0.002145285,0.0008684298,0.002612757,0.001266856,0.001120769,0.007461533],"category_scores_gemma":[0.005626638,0.0008425849,0.001360351,0.003357909,0.0009501002,0.00212149,0.002455536,0.002643096,0.003035325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003499492,"about_ca_system_score_gemma":0.001563447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062194,"about_ca_topic_score_gemma":0.001082092,"domain_scores_codex":[0.9980001,0.0006831021,0.0001584246,0.0003067133,0.0007955402,0.00005610538],"domain_scores_gemma":[0.9975711,0.00124873,0.0001554515,0.0003405566,0.0005237578,0.0001604641],"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":[0.0004153999,0.0001105262,0.001084768,0.001182507,0.0002847608,0.0005453418,0.0008825033,0.02101041,0.05776851,0.05909005,0.04861699,0.8090082],"study_design_scores_gemma":[0.0002813853,0.000294674,0.002774817,0.0002547376,0.0001197993,0.004328177,0.0003232856,0.6159015,0.06431165,0.1202641,0.1907754,0.000370447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004509322,0.00009009054,0.996914,0.00008352476,0.00002632176,0.00003401443,0.0001137133,0.002066047,0.0002213018],"genre_scores_gemma":[0.007150552,0.0003295694,0.9908879,0.00005053416,0.00002705332,0.0002095636,0.0004102218,0.0003883798,0.0005462014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007461533,"threshold_uncertainty_score":0.02496135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902367106672063,"score_gpt":0.3489019069096217,"score_spread":0.329878235842901,"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."}}