{"id":"W4405702396","doi":"10.1242/bio.060483","title":"Patient-matched tumours, plasma, and cell lines reveal tumour microenvironment- and cell culture-specific microRNAs","year":2024,"lang":"en","type":"article","venue":"Biology Open","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"OVC Pet Trust; Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"microRNA; Biology; Osteosarcoma; Cell type; Cell culture; Cancer; Cell; Cancer research; Tumor microenvironment; Computational biology; RNA; Gene; 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":[0.0006731055,0.0002291031,0.0004111018,0.0005622253,0.0002619028,0.0006421798,0.0001468672,0.0004524975,0.002420668],"category_scores_gemma":[0.001316805,0.0002079931,0.0002624662,0.0005948867,0.0002585674,0.000233269,0.0003097125,0.0005239342,0.0010293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001558862,"about_ca_system_score_gemma":0.0001976445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003310109,"about_ca_topic_score_gemma":0.0005608553,"domain_scores_codex":[0.999175,0.0001550516,0.0001119877,0.000271017,0.0002163219,0.00007065777],"domain_scores_gemma":[0.9994703,0.0002103015,0.00007157852,0.000113169,0.00009088778,0.00004372249],"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":[0.001619118,0.0002846367,0.03532632,0.0002486508,0.0001643292,0.0008336448,0.0005511848,0.0002674315,0.9417053,0.0003960849,0.000906522,0.01769682],"study_design_scores_gemma":[0.0001194512,0.002005376,0.1530213,0.00004676804,0.0002911157,0.01456067,0.0009379004,0.002330615,0.7926335,0.0007867595,0.03321344,0.0000530285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697581,0.004199538,0.01827644,0.0002168048,0.0001909903,0.0001813803,0.002351898,0.0002731526,0.004551772],"genre_scores_gemma":[0.9848972,0.0009293825,0.008500045,0.0002258441,0.00002814193,0.0001710647,0.003447344,0.0000728836,0.001728023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002420668,"threshold_uncertainty_score":0.008097947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00917023031574365,"score_gpt":0.2330935864699227,"score_spread":0.223923356154179,"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."}}