{"id":"W6891602589","doi":"10.4224/5764227","title":"Visualization of data structure, domain knowledge and data mining results: application to breast cancer gene expressions","year":2006,"lang":"en","type":"report","venue":"NPARC","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Visualization; Domain (mathematical analysis); Data visualization; Domain knowledge; Knowledge extraction; Breast cancer; Information visualization","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.00180812,0.0004297092,0.0003321574,0.001473972,0.0005008731,0.001385817,0.000403738,0.0004549244,0.001476011],"category_scores_gemma":[0.00717139,0.0002170919,0.0003420098,0.002443683,0.0003563615,0.0007600413,0.0007819541,0.0007729749,0.0002267145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003676343,"about_ca_system_score_gemma":0.0005981626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003272509,"about_ca_topic_score_gemma":0.003981018,"domain_scores_codex":[0.999463,0.0002925262,0.0000306918,0.00005465532,0.0001370226,0.00002208983],"domain_scores_gemma":[0.9943916,0.004350473,0.0002060999,0.0003428487,0.0005696535,0.0001392686],"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":[0.001335154,0.0006700953,0.03918292,0.001141822,0.0002493195,0.001556431,0.004513029,0.07140049,0.07490939,0.02575974,0.05542815,0.7238535],"study_design_scores_gemma":[0.0002287618,0.0002903852,0.03545365,0.0001954571,0.0001645247,0.00151463,0.001354451,0.792838,0.07984268,0.05801894,0.03000498,0.00009359801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3624588,0.003475239,0.601622,0.006327429,0.0001272843,0.0003742264,0.00392356,0.01446963,0.007221852],"genre_scores_gemma":[0.5339556,0.002557517,0.4579752,0.0001290196,0.00006426749,0.0002164544,0.002654073,0.0005788744,0.00186898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003272509,"threshold_uncertainty_score":0.009562373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0759458079910741,"score_gpt":0.4055413689746341,"score_spread":0.32959556098356,"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."}}