{"id":"W6964211548","doi":"10.25345/c5pk0763m","title":"MassIVE MSV000090936 - This is a test to see if symbol - works when submitting a job","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Test (biology); Symbol (formal); Field (mathematics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001308675,0.001739958,0.001824607,0.00153973,0.00109541,0.000800415,0.003485993,0.0009723267,0.47143],"category_scores_gemma":[0.003364442,0.001908668,0.0006806895,0.002000274,0.0002074261,0.0004194625,0.003742671,0.003631858,0.07938991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838281,"about_ca_system_score_gemma":0.0006606612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003096099,"about_ca_topic_score_gemma":0.002171085,"domain_scores_codex":[0.9906839,0.0005632753,0.001386303,0.002603127,0.002325112,0.002438266],"domain_scores_gemma":[0.9921316,0.001496561,0.001107294,0.004001505,0.0003212019,0.0009418343],"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":[0.0001398606,0.0003319605,0.0006656331,0.0002554205,0.0004645444,0.00120966,0.002477402,0.00002212687,0.00008983987,0.000004266334,0.9935758,0.0007634696],"study_design_scores_gemma":[0.0008562439,0.0003317858,0.0003353344,0.0008577312,0.0006950489,0.00007541689,0.001655661,0.00003264753,0.00005142803,0.00008779173,0.9929339,0.002087029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003327128,0.001125125,0.000004502924,0.0004663091,0.001144338,0.002308588,0.9909891,0.0006419648,0.002987392],"genre_scores_gemma":[0.0001965385,0.00006693441,0.0004607572,0.004080338,0.001270148,0.001472906,0.9850132,0.0007579626,0.006681188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3920401,"threshold_uncertainty_score":0.9995347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658751980270099,"score_gpt":0.2618333779795342,"score_spread":0.2452458581768332,"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."}}