{"id":"W6980408998","doi":"","title":"Cancer prognosis based on knowledge discovery from clinic and biological data sets","year":2019,"lang":"en","type":"dissertation","venue":"Own your potential (DEAKIN)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Disease; Cause of death; Knowledge extraction; MEDLINE; Quarter (Canadian coin); Patient data; Cancer treatment","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00422936,0.0004642029,0.0007331557,0.006027699,0.0004074043,0.002450856,0.000758743,0.0009372079,0.001874127],"category_scores_gemma":[0.01959394,0.0002722808,0.001169753,0.003631778,0.0004964125,0.002059933,0.001093995,0.001236847,0.001079985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123448,"about_ca_system_score_gemma":0.002188689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006129206,"about_ca_topic_score_gemma":0.007635718,"domain_scores_codex":[0.9973368,0.0008670909,0.0002342366,0.0004636711,0.0009210543,0.0001770851],"domain_scores_gemma":[0.9899951,0.007326721,0.0007095097,0.0008762617,0.0008701742,0.0002222101],"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":[0.0008410976,0.001170098,0.1817439,0.0007604538,0.0008754338,0.0006754785,0.000451254,0.03798946,0.003185342,0.00899083,0.02466752,0.7386492],"study_design_scores_gemma":[0.0002366747,0.0009256274,0.188984,0.001191088,0.001829474,0.002121095,0.001183417,0.6419127,0.01255516,0.1019151,0.04685182,0.0002938166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5592835,0.0306958,0.2851681,0.0400518,0.001150409,0.001034818,0.0366221,0.003019161,0.04297423],"genre_scores_gemma":[0.8782309,0.005284096,0.0909045,0.0008986618,0.0003941836,0.0002143084,0.02118413,0.00006753275,0.002821703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006129206,"threshold_uncertainty_score":0.0223673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.157829694342414,"score_gpt":0.4217976158179629,"score_spread":0.2639679214755489,"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."}}