{"id":"W4386644935","doi":"10.3390/cancers15184526","title":"Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital","funders":"Canadian Institutes of Health Research; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Brain metastasis; Transcriptome; Adenocarcinoma; Cancer research; Metastasis; Microarray; Biology; Lung; Immune system; Gene; Medicine; Bioinformatics; Gene expression; Immunology; Cancer; Internal medicine","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":[0.001574292,0.0007561269,0.001984203,0.002472213,0.0005328493,0.001182624,0.000583796,0.0005593722,0.002291538],"category_scores_gemma":[0.001894993,0.0003626884,0.005029483,0.002990531,0.0002256746,0.0003959204,0.001101657,0.0008790549,0.0003688548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003858929,"about_ca_system_score_gemma":0.0008169261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893531,"about_ca_topic_score_gemma":0.00833708,"domain_scores_codex":[0.9990976,0.0002508202,0.00007657511,0.0003611064,0.00008583337,0.000128102],"domain_scores_gemma":[0.9990018,0.0005814493,0.0001175359,0.0001137812,0.00009326552,0.00009223426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002773251,0.0001396471,0.8074986,0.005987085,0.07336064,0.001123308,0.0003838612,0.004745255,0.04252314,0.0006576032,0.009249654,0.05155792],"study_design_scores_gemma":[0.0001585328,0.0004027497,0.9004149,0.0008511069,0.06005733,0.00159288,0.0008126714,0.009820089,0.003716314,0.001863364,0.02018891,0.0001210123],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7835411,0.09714186,0.01645274,0.00200941,0.000292433,0.0002111668,0.09737182,0.0004780503,0.002501362],"genre_scores_gemma":[0.9441779,0.01103149,0.00591715,0.000578464,0.0001066707,0.0002283866,0.03706073,0.0001723245,0.0007268344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003893531,"threshold_uncertainty_score":0.008325756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089164169042312,"score_gpt":0.3633497863740354,"score_spread":0.2544333694698042,"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."}}