{"id":"W4378212038","doi":"10.1101/2023.05.24.542195","title":"Single Cell Spatial Analysis and Biomarker Discovery in Hodgkin Lymphoma","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network; Spinal Cord Injury BC; University of British Columbia","funders":"","keywords":"Tumor microenvironment; Immune system; CD8; Mass cytometry; Cancer research; T cell; Biology; Lymphoma; Immunotherapy; Immunology; Phenotype","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":[0.0005429359,0.0002978746,0.0004350319,0.002817989,0.0001979249,0.0008363557,0.0002707137,0.0003899821,0.001179091],"category_scores_gemma":[0.0008487918,0.0001740018,0.0003153404,0.001035306,0.0001566437,0.0002628326,0.0004191016,0.0002534022,0.0004916199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003196808,"about_ca_system_score_gemma":0.0002522858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009242173,"about_ca_topic_score_gemma":0.001008647,"domain_scores_codex":[0.9998009,0.00002735462,0.00001783636,0.00007087992,0.00005277973,0.00003028981],"domain_scores_gemma":[0.999692,0.00009098322,0.00007121088,0.00003176388,0.00007766816,0.00003640476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008100984,0.0001849658,0.3239703,0.0004921707,0.0002915782,0.0006303108,0.000233352,0.01237271,0.4887542,0.001128037,0.003077608,0.1680547],"study_design_scores_gemma":[0.00007544914,0.0005997501,0.3637772,0.0001043239,0.0003283543,0.002094309,0.0008738264,0.3285198,0.2821698,0.006005675,0.01536924,0.00008244674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9186539,0.004168225,0.06973454,0.000339953,0.00004731594,0.0001217722,0.003273543,0.001840894,0.001819923],"genre_scores_gemma":[0.9634959,0.0006352428,0.03296828,0.0001210593,0.00003284325,0.0001018408,0.001865775,0.00005244143,0.0007266653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002817989,"threshold_uncertainty_score":0.003944457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033426276628546,"score_gpt":0.2347806292821436,"score_spread":0.2144463665158581,"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."}}