{"id":"W2887114221","doi":"10.1038/s41416-018-0200-0","title":"Identification of beta-arrestin-1 as a diagnostic biomarker in lung cancer","year":2018,"lang":"en","type":"article","venue":"British Journal of Cancer","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institute for Research in Immunology and Cancer; Université de Montréal","funders":"Integrated BioBank of Luxembourg","keywords":"Lung cancer; Biomarker; Medicine; Tissue microarray; Immunohistochemistry; Oncology; Cancer; Adenocarcinoma; Pathology; Internal medicine; Biology","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":[0.0006080043,0.000287554,0.0003480203,0.000919205,0.0001438664,0.0004560365,0.0002289682,0.0003609381,0.000666284],"category_scores_gemma":[0.0007714696,0.000101145,0.0001877319,0.0003833638,0.0002096943,0.0001893451,0.0001849224,0.0004579413,0.0003034108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000333884,"about_ca_system_score_gemma":0.0002471676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003285006,"about_ca_topic_score_gemma":0.0004548554,"domain_scores_codex":[0.9998143,0.00004533015,0.00001381411,0.00004458645,0.00005440054,0.00002764903],"domain_scores_gemma":[0.9994496,0.0001774433,0.0001823923,0.00002242541,0.0001064065,0.0000618266],"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":[0.00114595,0.0001790845,0.3008815,0.000391326,0.0001040707,0.0004952082,0.0001061179,0.0006387877,0.6470234,0.0001838963,0.0006510708,0.04819949],"study_design_scores_gemma":[0.00005516638,0.001994699,0.608685,0.00009067527,0.0002514754,0.005841481,0.0001809823,0.00666506,0.3682245,0.0006614153,0.007320439,0.00002907563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827094,0.01185371,0.003278518,0.0003266881,0.00002766614,0.00005167847,0.0005043532,0.00007414717,0.001173898],"genre_scores_gemma":[0.9944348,0.001526386,0.003196975,0.00007329298,0.00002987178,0.00002893396,0.0003860934,0.00000556867,0.0003182014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000919205,"threshold_uncertainty_score":0.003215432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009776238330703763,"score_gpt":0.3011209812806427,"score_spread":0.291344742949939,"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."}}