{"id":"W4307460419","doi":"10.1016/s0959-8049(22)01123-6","title":"Spatial transcriptomics analysis for spatial biomarker discovery in glioblastoma","year":2022,"lang":"en","type":"article","venue":"European Journal of Cancer","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"","keywords":"Transcriptome; Computational biology; Spatial analysis; Tumour heterogeneity; Biology; Computer science; Glioblastoma; Gene; Gene expression; Cancer; Cancer research; Genetics","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":[0.0006668989,0.0001505395,0.0002688081,0.000231882,0.00009587449,0.00003998988,0.0003270058,0.00002609455,0.0000827648],"category_scores_gemma":[0.00002737479,0.0001452211,0.0004353717,0.0002577913,0.0000459928,0.00001107114,0.00004887534,0.0001792436,4.336314e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006150867,"about_ca_system_score_gemma":0.0001321532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001436936,"about_ca_topic_score_gemma":0.001135199,"domain_scores_codex":[0.9985449,0.0002735159,0.0005088635,0.0002180842,0.0002319602,0.0002226683],"domain_scores_gemma":[0.9993936,0.00001414714,0.0002595113,0.0001605914,0.00009896707,0.00007318742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007928236,0.0003712689,0.05794023,0.00003057384,0.001385289,0.0001116692,0.0004798143,0.02285073,0.8502062,0.00001352745,0.001743603,0.05693884],"study_design_scores_gemma":[0.01839266,0.007251051,0.2267029,0.00007537902,0.001989052,0.0001219157,0.0006400266,0.007786756,0.19538,0.00006440283,0.5401154,0.001480525],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8971686,0.001424083,0.09974162,0.0002648671,0.0009148504,0.0001210504,0.0001614251,0.000003247264,0.0002002919],"genre_scores_gemma":[0.9983957,0.0001720341,0.0002236173,0.0003003095,0.0005224359,0.000008779001,0.00002472894,0.00004087791,0.0003114862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6548262,"threshold_uncertainty_score":0.5921946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614936067301259,"score_gpt":0.2503773612114845,"score_spread":0.2342280005384719,"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."}}