{"id":"W4393696344","doi":"10.5281/zenodo.2642094","title":"Human SET domain bifurcated 1 (SETDB1), Tudor domain; A Target Enabling Package","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Cancer Mechanisms and Therapy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Domain (mathematical analysis); Set (abstract data type); Computer science; Biology; Cell biology; Programming language; Mathematics","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":[0.0006404262,0.001723541,0.001948937,0.002239712,0.0006022491,0.001598612,0.002321976,0.001745812,0.04511748],"category_scores_gemma":[0.003758112,0.0004796195,0.001526204,0.004067095,0.0002719811,0.0008014491,0.001322089,0.001306196,0.03805535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069463,"about_ca_system_score_gemma":0.002432187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007753383,"about_ca_topic_score_gemma":0.01817044,"domain_scores_codex":[0.9994408,0.00009495601,0.00007275657,0.0001956595,0.000118518,0.0000772218],"domain_scores_gemma":[0.9992312,0.000287582,0.0001139846,0.0001380274,0.000128149,0.000101031],"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":[0.001151821,0.00006009328,0.006246747,0.01214177,0.0006421924,0.000174757,0.00006117218,0.001733289,0.00184762,0.001556426,0.9592675,0.01511666],"study_design_scores_gemma":[0.001066618,0.00009877841,0.01174858,0.001059206,0.0004518747,0.0002870267,0.00005557171,0.0008391673,0.001635091,0.002001895,0.9807041,0.00005219378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004498214,0.0006219665,0.0001033767,0.00006463734,0.00001402893,0.00001692413,0.9978117,0.0002833093,0.0006342258],"genre_scores_gemma":[0.001793533,0.0004490587,0.0004078142,0.00008449204,0.000005371939,0.0001087712,0.9966236,0.00005940722,0.0004679744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04511748,"threshold_uncertainty_score":0.150933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383422656273922,"score_gpt":0.3086791716849903,"score_spread":0.2703369060575981,"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."}}