{"id":"W6889146361","doi":"10.25345/c5wp9tj3f","title":"MassIVE MSV000094507 - Molecular correlates of HNSCC engraftment","year":2024,"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":"Disease; Cancer; Immune system; Transplantation; Mutation","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":[0.0003460911,0.0009863777,0.001145969,0.0008436777,0.00006759886,0.0001116533,0.001112342,0.0007417087,0.007002773],"category_scores_gemma":[0.0002627305,0.000928899,0.0006066784,0.0007449387,0.0003272711,0.00008587567,0.0007209298,0.001229287,0.1291533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105137,"about_ca_system_score_gemma":0.0002958713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002167991,"about_ca_topic_score_gemma":0.0002233026,"domain_scores_codex":[0.9957599,0.0002232801,0.0009320457,0.001137112,0.001165198,0.0007824658],"domain_scores_gemma":[0.9967525,0.0002042345,0.0006148544,0.001969658,0.0001819953,0.0002767734],"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":[0.00007401209,0.000276628,0.00001715939,0.0006980072,0.001093873,0.001743096,0.00006947145,0.00007260888,0.000968017,0.0002574501,0.9946226,0.0001070367],"study_design_scores_gemma":[0.0005351076,0.0002516335,0.0000327224,0.0009252459,0.001493346,0.00003017419,0.00009349282,0.00003367932,0.004131684,0.0009287368,0.9906961,0.0008480653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006684432,0.008427104,0.000002985814,0.00002900642,0.001477228,0.0008830985,0.9866099,0.0002273249,0.001674845],"genre_scores_gemma":[0.001705013,0.0002041625,0.0001170355,0.000104812,0.0002050084,0.0001647763,0.9968018,0.0002685429,0.0004288612],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1221506,"threshold_uncertainty_score":0.9993162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008675977236044054,"score_gpt":0.2590794954256435,"score_spread":0.2504035181895994,"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."}}