{"id":"W2738012634","doi":"10.7490/f1000research.1112918.1","title":"Survival prediction using microarray data – A topic modeling approach","year":2016,"lang":"en","type":"article","venue":"Faculty of 1000 Research Ltd","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Open peer review; Plant biology; Microarray analysis techniques; Computational biology; Computer science; Medicine; Data science; Bioinformatics; Biology; Gene expression; Gene","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":[0.007424187,0.001379197,0.002523016,0.002949543,0.0007882869,0.00167121,0.002326197,0.002502852,0.002050115],"category_scores_gemma":[0.0109053,0.0008163548,0.003491815,0.002641262,0.0006008802,0.001756536,0.00116745,0.002344886,0.001090178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007057479,"about_ca_system_score_gemma":0.0008033594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003956779,"about_ca_topic_score_gemma":0.004888905,"domain_scores_codex":[0.9975013,0.001293184,0.0001778228,0.000603663,0.0002289316,0.0001952044],"domain_scores_gemma":[0.9799912,0.01824046,0.0004943442,0.0005498901,0.0005406966,0.0001834258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001228255,0.000758168,0.03672976,0.0005801166,0.001652154,0.0005035663,0.0008215588,0.6692693,0.005626449,0.01920212,0.01195281,0.2516757],"study_design_scores_gemma":[0.00001835348,0.00004705508,0.0016059,0.00001417048,0.000104884,0.00004708754,0.00003260844,0.9886785,0.0003228509,0.008548961,0.000564905,0.0000147084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1327474,0.002693506,0.8570583,0.00219581,0.0002536612,0.0001989979,0.002484424,0.001240161,0.001127778],"genre_scores_gemma":[0.8776252,0.00209469,0.1053717,0.0004587898,0.001308968,0.0008326154,0.006553023,0.0002360982,0.005518975],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007424187,"threshold_uncertainty_score":0.03926337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.178245223307122,"score_gpt":0.4009661126890185,"score_spread":0.2227208893818965,"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."}}