{"id":"W4393796065","doi":"10.5281/zenodo.4473350","title":"SomaticSiMu Provided Datasets","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Information retrieval; Data mining","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":[0.001749645,0.002017558,0.001107597,0.002023333,0.0009890104,0.00155654,0.003614869,0.00239832,0.05474581],"category_scores_gemma":[0.006972936,0.0006252072,0.001714571,0.003455715,0.0004705924,0.000964057,0.001431788,0.001878775,0.04702541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493579,"about_ca_system_score_gemma":0.001814399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007643085,"about_ca_topic_score_gemma":0.02001815,"domain_scores_codex":[0.9990444,0.0003053145,0.0000744526,0.000252534,0.0002201706,0.0001031526],"domain_scores_gemma":[0.9983323,0.0007129762,0.00008465481,0.0004296386,0.0003048706,0.0001355003],"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":[0.0002051831,0.00008215589,0.001594443,0.0007318158,0.000137557,0.00006697432,0.00003033513,0.01047913,0.000353844,0.001580095,0.979702,0.005036608],"study_design_scores_gemma":[0.001100243,0.0001124797,0.00474735,0.0003007389,0.0001462427,0.0002482768,0.00009979716,0.02059788,0.002364324,0.01134299,0.9588581,0.00008161784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001996136,0.0002395989,0.001076346,0.0002153323,0.00008540041,0.00007097607,0.9909222,0.002445059,0.002948867],"genre_scores_gemma":[0.002420358,0.00007046264,0.001997595,0.0001327379,0.000009109578,0.0002603457,0.9937918,0.0003411939,0.0009764211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05474581,"threshold_uncertainty_score":0.183143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542594579845969,"score_gpt":0.2629485100220426,"score_spread":0.2275225642235829,"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."}}