{"id":"W2124905606","doi":"10.1039/c5ib90031j","title":"Patients are a virtue: advances in microengineered systems for clinical applications","year":2015,"lang":"en","type":"article","venue":"Integrative Biology","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Microscale chemistry; Biomedicine; Nanotechnology; Emerging technologies; Human health; Data science; Computer science; Engineering ethics; Engineering; Medicine; Biology; Bioinformatics; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001438749,0.0001347855,0.0002740652,0.00009402497,0.00001570732,0.000007826838,0.0001526479,0.0002109323,5.702126e-7],"category_scores_gemma":[0.0002264349,0.00009802821,0.00004547881,0.0001315694,0.0001230327,0.00004496983,0.00002380156,0.0001550377,0.00001683718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007928384,"about_ca_system_score_gemma":0.0000161061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001090923,"about_ca_topic_score_gemma":0.00002918749,"domain_scores_codex":[0.9992699,0.00003688627,0.0003105372,0.0001846181,0.00002578311,0.000172261],"domain_scores_gemma":[0.9994825,0.0001394381,0.00005057784,0.0001494125,0.0001400247,0.00003804383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004014521,0.0008488636,0.4385912,0.0003631704,0.0003008075,0.000007828305,0.0007491434,0.0007884768,0.02459134,0.06258081,0.2562843,0.2144926],"study_design_scores_gemma":[0.001713731,0.0005349873,0.003060383,0.0001152716,0.00001521087,0.00000393495,0.002130968,0.004392279,0.005759492,0.003945802,0.9778936,0.0004343759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3770965,0.08235803,0.5313197,0.0002737294,0.002965924,0.002630294,0.0007933787,0.00140388,0.001158494],"genre_scores_gemma":[0.9958084,0.002004738,0.001691613,0.00002459934,0.00008299859,0.0002530992,0.00009168596,0.0000147444,0.00002814978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7216093,"threshold_uncertainty_score":0.3997474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03965406072651621,"score_gpt":0.3261671635053049,"score_spread":0.2865131027787887,"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."}}