{"id":"W4292397190","doi":"10.1016/j.trecan.2022.07.008","title":"Space in cancer biology: its role and implications","year":2022,"lang":"en","type":"review","venue":"Trends in cancer","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Life Sciences Institute; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Systems biology; Tumor microenvironment; Tumor heterogeneity; Computer science; Computational biology; Data science; Tumor cells; Biology; Cancer; Cancer research; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001362168,0.001349028,0.002129375,0.001998987,0.0004448413,0.002523959,0.001447303,0.002647623,0.002831544],"category_scores_gemma":[0.001118963,0.0004367759,0.0005090592,0.003918468,0.002325189,0.003550545,0.001526606,0.003810367,0.001571649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001838506,"about_ca_system_score_gemma":0.002168606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002608616,"about_ca_topic_score_gemma":0.003868953,"domain_scores_codex":[0.9997492,0.00004867581,0.00002714796,0.00005200211,0.00009241397,0.00003058924],"domain_scores_gemma":[0.99939,0.0003411377,0.00005597436,0.00001938921,0.0001344366,0.00005903484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001052755,0.00004168346,0.0001916989,0.01099386,0.00007981786,0.0001478862,0.00009848317,0.0008190772,0.001624173,0.02915088,0.054889,0.9018582],"study_design_scores_gemma":[0.00001432206,0.00005130135,0.000482684,0.002461925,0.00006342675,0.0004611333,0.0001022097,0.000160029,0.0003093463,0.01338227,0.9824807,0.00003063559],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002836446,0.998635,0.0001293836,0.0006013967,0.0002945068,0.000001035335,0.000009467836,0.000003245153,0.0002975345],"genre_scores_gemma":[0.0003008395,0.9986493,0.0001128839,0.0002986151,0.0003931181,0.000003170218,0.00001132757,9.407924e-7,0.0002298071],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002831544,"threshold_uncertainty_score":0.01333934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08907892964673231,"score_gpt":0.391183267028796,"score_spread":0.3021043373820637,"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."}}