{"id":"W4394345312","doi":"10.6084/m9.figshare.23896204","title":"Additional file 3 of Identifying novel regulatory effects for clinically relevant genes through the study of the Greek population","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Gene; Genetics; Computational biology; Population; Biology; Medicine; Environmental health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001324792,0.001358915,0.001565582,0.001839735,0.0006620453,0.001843214,0.001794513,0.001543925,0.4687776],"category_scores_gemma":[0.01231878,0.0004950674,0.001243174,0.0029867,0.0002965014,0.001112167,0.001192068,0.001021628,0.07554267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009517518,"about_ca_system_score_gemma":0.001596123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007436506,"about_ca_topic_score_gemma":0.01456186,"domain_scores_codex":[0.9993128,0.0001123926,0.000111606,0.0002674271,0.00009452608,0.0001013202],"domain_scores_gemma":[0.9945492,0.003664218,0.0004060208,0.0005563567,0.000570271,0.0002538875],"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":[0.0003840861,0.0000713361,0.006961539,0.005260248,0.0001944498,0.0001204592,0.00007296904,0.0006827649,0.0004307746,0.0007870857,0.9794238,0.005610449],"study_design_scores_gemma":[0.00402808,0.0001834145,0.04821524,0.002843481,0.00045499,0.0005667289,0.0002814149,0.001419911,0.00108455,0.006972929,0.9338356,0.0001135639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001082653,0.00002529849,0.00006256123,0.00002763525,0.000008504519,0.0000132685,0.9995228,0.0000730485,0.0001586146],"genre_scores_gemma":[0.002274559,0.00006417402,0.0006872112,0.0001644476,0.00001911829,0.000297084,0.9951723,0.0001656512,0.001155334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4687776,"threshold_uncertainty_score":0.7577242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04793610432799738,"score_gpt":0.3166714424671053,"score_spread":0.2687353381391079,"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."}}