{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003608323,0.0003001539,0.0004434811,0.00101002,0.0002724498,0.000783888,0.0003030713,0.0004109667,0.0009886039],"category_scores_gemma":[0.0005345278,0.0002191748,0.000438631,0.001186809,0.0002643336,0.0003797078,0.0003912029,0.0003592842,0.0003064394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004309246,"about_ca_system_score_gemma":0.0005954808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002524866,"about_ca_topic_score_gemma":0.004976512,"domain_scores_codex":[0.9997895,0.00002838274,0.00001448455,0.000061321,0.00006029659,0.00004592297],"domain_scores_gemma":[0.9998329,0.00005187627,0.00003758788,0.00001957528,0.00004475922,0.00001327006],"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":[0.0003227696,0.00003175407,0.01618883,0.0003300839,0.0001087651,0.0003303001,0.0001105454,0.004818028,0.9370582,0.001757737,0.0008166554,0.0381263],"study_design_scores_gemma":[0.0000409454,0.0002533491,0.1404012,0.0000855242,0.0004349242,0.001476511,0.0009161605,0.1284162,0.7034688,0.008049974,0.01637405,0.00008244642],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8616095,0.00708221,0.1187139,0.0007569508,0.00008517996,0.00008275291,0.007679327,0.0008708107,0.00311937],"genre_scores_gemma":[0.9556128,0.002128215,0.03797911,0.0001682291,0.00004076763,0.0001141202,0.002629879,0.00008276332,0.001244127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002524866,"threshold_uncertainty_score":0.00502032,"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."}}