{"id":"W6964017277","doi":"10.25345/c55j6v","title":"MassIVE MSV000086812 - Proteomic profiles of PDAC LCM sub-tumour microenvironments","year":2021,"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":"Transcriptome; Identification (biology); Proteomics; Cell culture","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003958525,0.001252651,0.001646324,0.000583864,0.0001684245,0.0001080701,0.001632013,0.0007969989,0.00879786],"category_scores_gemma":[0.0003522733,0.001291968,0.0005323802,0.0005139605,0.0005995124,0.0002232152,0.001232739,0.00122691,0.01917227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006748907,"about_ca_system_score_gemma":0.0004695831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002547469,"about_ca_topic_score_gemma":0.0002632748,"domain_scores_codex":[0.9941072,0.0005526821,0.001274498,0.001606228,0.001281605,0.001177824],"domain_scores_gemma":[0.9951846,0.0001059593,0.001698499,0.002540621,0.0001333966,0.0003369267],"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":[0.0001457641,0.0006083854,0.0003505502,0.0007623358,0.0004309016,0.0004615194,0.00003054111,0.0000108538,0.1455084,0.000002221097,0.8516253,0.00006322785],"study_design_scores_gemma":[0.001191969,0.0001637528,0.002987336,0.0008604508,0.0005668932,0.0000505165,0.00009704466,0.000004117037,0.1748641,0.00005077145,0.8179875,0.001175483],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05159748,0.001257689,0.000001607371,0.0000294278,0.0005102736,0.002520658,0.9438614,0.00008911471,0.0001323872],"genre_scores_gemma":[0.001158478,0.0002672389,0.0006300943,0.00008515782,0.0004665395,0.0006328519,0.9957684,0.0003856535,0.0006055697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05190706,"threshold_uncertainty_score":0.998953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01187688164946971,"score_gpt":0.2385643382825032,"score_spread":0.2266874566330335,"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."}}