{"id":"W3162175747","doi":"10.2139/ssrn.3844749","title":"Single-Cell Landscapes of Primary Glioblastomas and Matched Organoids and Cell Lines Reveal Variable Retention of Inter- and Intra-Tumor Heterogeneity","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"","keywords":"Organoid; Cell; Biology; Primary (astronomy); Tumor cells; Variable (mathematics); Genetic heterogeneity; Tumor heterogeneity; Phenotype; Pathology; Cancer research; Neuroscience; Genetics; Medicine; Cancer; Gene; Mathematics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.000369634,0.0001351488,0.0002444136,0.00004062209,0.00005431267,0.00002467783,0.00006875165,0.0001075314,0.000003469084],"category_scores_gemma":[0.00002447033,0.0001263566,0.00005027423,0.00007099589,0.00006943884,0.00001051998,0.00006475044,0.0002828865,9.287406e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002944432,"about_ca_system_score_gemma":0.0003428727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001840074,"about_ca_topic_score_gemma":0.0001885185,"domain_scores_codex":[0.9989007,0.00007556808,0.0002954074,0.0002220958,0.00008211103,0.0004241681],"domain_scores_gemma":[0.9995161,0.00001432762,0.0001665484,0.0001126894,0.0001284985,0.00006187538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001976729,0.0001336251,0.01007054,0.0001671894,0.00006234765,0.000002376314,0.00004531373,0.000003237302,0.9877806,0.00005640181,0.00001250238,0.00146817],"study_design_scores_gemma":[0.001297017,0.001045053,0.0008445902,0.00004469601,0.00007786712,0.000468107,0.0002255754,0.00003443245,0.9944662,0.001174947,0.0001818178,0.0001397131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986641,0.01036902,0.00268578,0.00004526085,0.0000669338,0.00005632886,0.000009882328,0.000003486251,0.0001222823],"genre_scores_gemma":[0.9943802,0.004217561,0.001031393,0.00003456822,0.00009509896,8.65555e-7,0.00002033366,0.00001795123,0.0002020195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009225955,"threshold_uncertainty_score":0.5152673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006394749992517448,"score_gpt":0.1906252292464926,"score_spread":0.1842304792539752,"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."}}