{"id":"W4394257825","doi":"10.6084/m9.figshare.18132334","title":"Additional file 2 of Circulating inflammatory cytokines and risk of five cancers: a Mendelian randomization analysis","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Atherosclerosis and Cardiovascular Diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Mendelian randomization; Medicine; Mendelian inheritance; Bioinformatics; Computational biology; Biology; Oncology; Internal medicine; Immunology; Genetics; Gene; Genotype","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":[0.002226399,0.001199999,0.001429405,0.001350705,0.0008180517,0.001422404,0.001981744,0.001478779,0.5480524],"category_scores_gemma":[0.022637,0.0006491938,0.001237065,0.00273798,0.000293691,0.001036397,0.0009090755,0.001100725,0.05692415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128221,"about_ca_system_score_gemma":0.00154439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01199958,"about_ca_topic_score_gemma":0.01747099,"domain_scores_codex":[0.9988822,0.0002821931,0.0001742457,0.0003881689,0.0001404821,0.0001327275],"domain_scores_gemma":[0.9905977,0.006397755,0.0007508234,0.001161691,0.0008332186,0.0002588596],"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":[0.0006557534,0.0000997656,0.01010281,0.002094609,0.0002290004,0.0001405644,0.00005800194,0.0008275408,0.0001654352,0.001066161,0.9780576,0.006502898],"study_design_scores_gemma":[0.009558712,0.0004158186,0.0730192,0.003218414,0.0008583901,0.001245968,0.0003539889,0.004534659,0.0009619369,0.0136772,0.8919818,0.000173894],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003434794,0.00002272943,0.0003106737,0.00004917138,0.0000139717,0.00005992269,0.9987894,0.0001059756,0.000304813],"genre_scores_gemma":[0.01239588,0.0001236509,0.003975743,0.0003978066,0.00006704957,0.002225765,0.9751081,0.0005278929,0.005178129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5480524,"threshold_uncertainty_score":0.6446483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128299090949962,"score_gpt":0.2358205020708646,"score_spread":0.224537511161365,"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."}}