{"id":"W4200433420","doi":"10.3390/onco1020016","title":"Open Data to Support CANCER Science—A Bioinformatics Perspective on Glioma Research","year":2021,"lang":"en","type":"article","venue":"Onco","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Data science; Medical research; Perspective (graphical); Cancer; Glioma; Open research; Bioinformatics; Artificial intelligence; Medicine; World Wide Web; Biology; Cancer research","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013152,0.0001066527,0.0001260843,0.00009269982,0.000292924,0.0003301657,0.002011386,0.00007549595,0.0001225222],"category_scores_gemma":[0.0002256874,0.00009601227,0.00002485635,0.0006071972,0.0001858837,0.0000246094,0.004598393,0.0001664649,0.0001741058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282038,"about_ca_system_score_gemma":0.001666497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001411438,"about_ca_topic_score_gemma":0.000391211,"domain_scores_codex":[0.9985546,0.0000302213,0.0002056948,0.000413486,0.0003648765,0.000431119],"domain_scores_gemma":[0.9978712,0.00001487568,0.00004752919,0.001332747,0.0005289759,0.0002046363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002407434,0.0002761212,0.0001697282,0.00004123312,0.0001302918,0.00006046881,0.002126219,0.000309486,0.1783605,0.011308,0.6896575,0.1173197],"study_design_scores_gemma":[0.0009657484,0.00112905,0.0005582827,0.00007271379,0.00001686833,0.00007103271,0.005560487,0.00225264,0.1626107,0.0007431685,0.8255297,0.0004895857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4377141,0.0005415613,0.001250839,0.009400496,0.001350831,0.001339115,0.0008898971,0.00002530502,0.5474879],"genre_scores_gemma":[0.970722,0.0002961974,0.01521471,0.004296999,0.0008146266,0.00006275366,0.0005947709,0.0000366789,0.007961249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5395266,"threshold_uncertainty_score":0.5731568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1388589533307628,"score_gpt":0.4551647386507778,"score_spread":0.316305785320015,"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."}}