{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008446025,0.002188239,0.001949568,0.002995845,0.0008325065,0.002273508,0.002466062,0.002519871,0.0678062],"category_scores_gemma":[0.005923606,0.0005767945,0.001659139,0.003919257,0.0003757603,0.0007238263,0.002139651,0.001199576,0.05343171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083151,"about_ca_system_score_gemma":0.001978875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01920724,"about_ca_topic_score_gemma":0.039087,"domain_scores_codex":[0.9991063,0.0001032368,0.00008058189,0.0003318771,0.0001948692,0.0001830115],"domain_scores_gemma":[0.9983394,0.0006003457,0.0001958292,0.0003378468,0.0003040003,0.0002226611],"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":[0.0003956946,0.00003002096,0.006194606,0.001050142,0.0001914787,0.00008871418,0.00003475164,0.0006616311,0.0004610626,0.0004833088,0.9838392,0.006569374],"study_design_scores_gemma":[0.00125899,0.0001173785,0.03607915,0.001110972,0.0006094935,0.0005229203,0.0001542486,0.002113243,0.001852478,0.004987314,0.9511135,0.00008036822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00119168,0.0005661472,0.0001329497,0.0001415387,0.00005772195,0.00001392635,0.9954912,0.0005609597,0.001843888],"genre_scores_gemma":[0.00310118,0.0002157585,0.0004495851,0.0001576643,0.00002597022,0.0000817595,0.9944711,0.0001351052,0.001362044],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0678062,"threshold_uncertainty_score":0.2268344,"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."}}