{"id":"W2779486016","doi":"10.3390/s17122934","title":"Lab-on-a-Chip Platforms for Detection of Cardiovascular Disease and Cancer Biomarkers","year":2017,"lang":"en","type":"review","venue":"Sensors","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seven Oaks General Hospital; Victoria General Hospital; University of Manitoba","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs; Chinese Academy of Sciences; University of Manitoba","keywords":"Software portability; Biomarker; Cancer biomarkers; Biomarker discovery; Cancer; Disease; Cancer detection; Computer science; Medicine; Bioinformatics; Risk analysis (engineering); Computational biology; Internal medicine; Proteomics; Biology","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":[0.0008881319,0.001479758,0.001171139,0.002915559,0.0002925567,0.0009631715,0.001320773,0.001677262,0.003144069],"category_scores_gemma":[0.0009089918,0.0005790899,0.0007593865,0.002131165,0.0004355884,0.001718805,0.0009248891,0.001892354,0.003112833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005695313,"about_ca_system_score_gemma":0.0008332903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000580345,"about_ca_topic_score_gemma":0.0008935261,"domain_scores_codex":[0.9994026,0.00007121765,0.00005208829,0.0001085205,0.0003124231,0.00005318402],"domain_scores_gemma":[0.9995516,0.0001766809,0.00006335837,0.00001848039,0.0001577239,0.00003202803],"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":[0.00005016235,0.0001409105,0.000329738,0.01772155,0.0001109325,0.0003040705,0.00008507018,0.0007813044,0.03861311,0.007964809,0.03580642,0.8980919],"study_design_scores_gemma":[0.000008235562,0.0001370913,0.0005314212,0.0009744125,0.00008886921,0.00101525,0.00004503753,0.0006217362,0.01318471,0.001558017,0.9817892,0.00004589723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005863258,0.9903942,0.004475535,0.0004050586,0.0006752412,0.00003827774,0.00006173741,0.00007622331,0.003287513],"genre_scores_gemma":[0.003427991,0.9876745,0.003939495,0.0005099545,0.000352422,0.00007825585,0.0001531078,0.00001191433,0.0038523],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003144069,"threshold_uncertainty_score":0.0105179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05143832541838937,"score_gpt":0.2919166667963957,"score_spread":0.2404783413780063,"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."}}