{"id":"W2075206328","doi":"10.1039/c2lc40550d","title":"Blood compatible microfluidic system for pharmacokinetic studies in small animals","year":2012,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Microfluidics; Biomedical engineering; Materials science; Blood volume; Photoresist; Volume (thermodynamics); Detector; Fluidics; Nanotechnology; Optoelectronics; Electrical engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0006189545,0.0001333872,0.0002269138,0.0001487847,0.00003306258,0.00001449877,0.0001819414,0.00005557498,0.00001897721],"category_scores_gemma":[0.0001330316,0.0001193009,0.0000398535,0.0002362984,0.00004581307,0.00002621951,0.00005327192,0.0001857,0.0001023741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009226469,"about_ca_system_score_gemma":0.000008766939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000931934,"about_ca_topic_score_gemma":0.000002742422,"domain_scores_codex":[0.9989368,0.00004093968,0.0002249189,0.0001325725,0.0001445256,0.0005202137],"domain_scores_gemma":[0.9993307,0.0003422707,0.0000183082,0.0001542148,0.00003218166,0.0001223061],"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":[0.0001498316,0.0005692409,0.04682337,0.0120139,0.0006772722,0.00004262965,0.003617764,0.0003115615,0.9038463,0.005704698,0.01478055,0.01146283],"study_design_scores_gemma":[0.004446091,0.0003049141,0.02320128,0.001463603,0.00009325488,0.00002722655,0.0005903139,0.005727687,0.9330791,0.0001291335,0.03030671,0.0006306736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841499,0.01280509,0.0001244465,0.0000638725,0.0005147216,0.0004028924,0.00001108937,0.0002237587,0.001704282],"genre_scores_gemma":[0.9983863,0.0003169268,0.0007679335,0.00004020377,0.000238583,0.0001274314,0.000002910615,0.00003612204,0.00008361813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02923276,"threshold_uncertainty_score":0.4864948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014400008255677,"score_gpt":0.3505759743849953,"score_spread":0.2491359735594276,"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."}}