{"id":"W2294408404","doi":"10.1016/j.dib.2016.02.073","title":"Dataset of STAT5A status in breast cancer","year":2016,"lang":"en","type":"article","venue":"Data in Brief","topic":"Cytokine Signaling Pathways and Interactions","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Breast cancer; Cancer; Oncology; Cancer research; Medicine; Bioinformatics; Biology; Internal medicine; Computational biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007256296,0.0009770041,0.001423353,0.002436946,0.0005049892,0.001044111,0.0009805569,0.001455517,0.008481714],"category_scores_gemma":[0.00320134,0.0002445945,0.001274085,0.002884559,0.0002300285,0.0002819416,0.0009550501,0.0008920276,0.005625987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000704547,"about_ca_system_score_gemma":0.001204624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007658626,"about_ca_topic_score_gemma":0.01514818,"domain_scores_codex":[0.9991404,0.0001119571,0.0001653455,0.0002950076,0.0001744277,0.0001128961],"domain_scores_gemma":[0.9988833,0.0004036005,0.0001957502,0.0001868945,0.0002011476,0.0001292818],"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":[0.00598827,0.0004597358,0.1746172,0.01348474,0.002186398,0.002024738,0.0002655734,0.006872959,0.02432429,0.001769484,0.6852694,0.08273739],"study_design_scores_gemma":[0.0009221021,0.0004605327,0.2566617,0.001423771,0.001276354,0.003532824,0.0002978535,0.003970296,0.0103787,0.002406276,0.7185302,0.0001393862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0131027,0.002021699,0.0004222499,0.0001799475,0.00005351779,0.00004877755,0.9828337,0.0002664357,0.001070855],"genre_scores_gemma":[0.01441341,0.0005838955,0.0009349948,0.0001260428,0.00001671597,0.0001218889,0.9833549,0.00002218613,0.0004260068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008481714,"threshold_uncertainty_score":0.02837414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219442218572497,"score_gpt":0.3545844150289688,"score_spread":0.3023899928432438,"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."}}