{"id":"W2503210767","doi":"10.1007/978-1-61779-448-3_6","title":"Sharing Expression Profiling Data with Gemma","year":2011,"lang":"en","type":"book-chapter","venue":"Neuromethods","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gemma; Profiling (computer programming); Computational biology; Computer science; Biology; Genetics; Operating system","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.002766604,0.0008162654,0.0008649749,0.002198695,0.0007672774,0.002344169,0.002181651,0.0008055653,0.009894093],"category_scores_gemma":[0.003660038,0.0008742969,0.001447923,0.00318992,0.0004624116,0.002472616,0.002228034,0.001888737,0.005727006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009711647,"about_ca_system_score_gemma":0.0008255147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155051,"about_ca_topic_score_gemma":0.003216506,"domain_scores_codex":[0.9984167,0.0002853687,0.00009934774,0.0004639314,0.0006578083,0.00007679839],"domain_scores_gemma":[0.9987796,0.0003803556,0.0000508889,0.000583174,0.000156033,0.00005011595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003308596,0.0001390456,0.002906898,0.0004551247,0.0004124322,0.0004189088,0.0006924294,0.02711101,0.05425921,0.0787653,0.08353707,0.7509717],"study_design_scores_gemma":[0.0000494046,0.00005765697,0.001910429,0.00005972846,0.0001274883,0.0007382243,0.0001103106,0.2386159,0.09209219,0.1409024,0.5252032,0.0001331459],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002084538,0.000328071,0.9766053,0.000156419,0.0001135309,0.00004681336,0.001129438,0.01515376,0.004382076],"genre_scores_gemma":[0.02499346,0.0004276414,0.9544155,0.0002789783,0.00006563337,0.0003067299,0.005329842,0.002711865,0.01147031],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9978184,"threshold_uncertainty_score":0.03309906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349102595613214,"score_gpt":0.3344186418160733,"score_spread":0.199508382254752,"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."}}