{"id":"W2973520315","doi":"10.1177/2472630319846878","title":"Biomicrofluidic Systems for Hematologic Cancer Research and Clinical Applications","year":2019,"lang":"en","type":"review","venue":"SLAS TECHNOLOGY","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Cancer Research Society","keywords":"Clinical trial; Drug development; Personalized medicine; Medicine; Drug; Drug discovery; Cancer; Intensive care medicine; Pharmacology; Bioinformatics; Biology; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001670151,0.0003236299,0.002688738,0.001511605,0.0001362828,0.00003391296,0.0005669388,0.002138752,0.0001399603],"category_scores_gemma":[0.0002893272,0.0002444382,0.0003404252,0.001391731,0.001222425,0.00001651567,0.0003926085,0.001768173,0.000342379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003523112,"about_ca_system_score_gemma":0.001071842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004212107,"about_ca_topic_score_gemma":0.000007065347,"domain_scores_codex":[0.9968519,0.0001813443,0.0009172212,0.001014764,0.0002913493,0.0007433938],"domain_scores_gemma":[0.9964839,0.001308612,0.0002195698,0.001385866,0.0004625593,0.0001394885],"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":[0.00004075509,0.0001475575,0.0001379783,0.03290293,0.0005110383,0.00001211785,0.000002689035,2.90059e-9,0.0001670896,0.006163761,0.00902151,0.9508926],"study_design_scores_gemma":[0.0006846222,0.0006779571,7.430174e-7,0.004062077,0.0004494337,0.0004402007,0.00004051825,0.000003898765,0.00003540805,0.0005605376,0.9928575,0.0001870968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006835428,0.9870216,0.0001165625,0.0007626341,0.000282813,0.01090878,0.0001114991,0.0002195221,0.0005082489],"genre_scores_gemma":[0.00001402757,0.9768272,0.0001493451,0.00001495627,0.0003407737,0.009177435,0.00009246571,0.000106543,0.01327728],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.983836,"threshold_uncertainty_score":0.9991567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3349991428916382,"score_gpt":0.5699769598246596,"score_spread":0.2349778169330214,"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."}}