{"id":"W7105975234","doi":"10.5683/sp3/b0ocdy","title":"Recalculated profiles for LINCS data","year":2023,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Data set; Code (set theory); Range (aeronautics); Data file; Table (database)","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":[0.005075352,0.003073521,0.002670868,0.006839631,0.003008176,0.005664655,0.00304178,0.001908062,0.06878182],"category_scores_gemma":[0.02481874,0.001551228,0.002919139,0.008287357,0.0008867072,0.00258924,0.003135887,0.004744682,0.114853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001883589,"about_ca_system_score_gemma":0.003667186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008573128,"about_ca_topic_score_gemma":0.01673769,"domain_scores_codex":[0.9924149,0.0007692075,0.0006521845,0.00365894,0.001738444,0.0007662292],"domain_scores_gemma":[0.9943926,0.001384189,0.0003623665,0.00222799,0.001316427,0.0003164787],"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":[0.001651703,0.0002502501,0.0220541,0.003172845,0.0007828684,0.0004792119,0.0006675398,0.002023782,0.02736528,0.006665007,0.8546075,0.08027995],"study_design_scores_gemma":[0.0003096282,0.0001491683,0.02931259,0.0004251943,0.0004588755,0.00084312,0.0003131564,0.003746355,0.02245495,0.01043776,0.9313054,0.0002437862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007999574,0.0009968237,0.01743044,0.0003330129,0.0008383169,0.0002333699,0.9420451,0.02270245,0.007421013],"genre_scores_gemma":[0.01271776,0.0004163709,0.03278534,0.0004019669,0.000104006,0.0008530481,0.9376683,0.008822335,0.006230962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06878182,"threshold_uncertainty_score":0.2300981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355738139298225,"score_gpt":0.3712555707506258,"score_spread":0.2356817568208033,"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."}}