{"id":"W2953831863","doi":"10.1080/23746149.2019.1622451","title":"Advanced bioengineering technologies for preclinical research","year":2019,"lang":"en","type":"article","venue":"Advances in Physics X","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"H2020 European Research Council; Natural Sciences and Engineering Research Council of Canada; Generalitat de Catalunya; European Commission; University of Ottawa","keywords":"Human health; Computer science; Drug discovery; Risk analysis (engineering); Nanotechnology; Human disease; Data science; Biochemical engineering; Engineering ethics; Biology; Engineering; Disease; Medicine; Bioinformatics; Pathology; Materials science","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":[0.007169529,0.001043327,0.001278493,0.002751283,0.0007705116,0.003841312,0.001509498,0.001895592,0.02691903],"category_scores_gemma":[0.005690079,0.0006776436,0.0009890712,0.001611727,0.00217008,0.002893396,0.00263263,0.004439327,0.02222554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206673,"about_ca_system_score_gemma":0.003257086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000429547,"about_ca_topic_score_gemma":0.000575721,"domain_scores_codex":[0.9967076,0.0008785135,0.0002487871,0.0003523519,0.001610706,0.0002020236],"domain_scores_gemma":[0.995998,0.001187678,0.0003688256,0.0008387771,0.001167377,0.0004393404],"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":[0.0004518425,0.0004878966,0.0009329772,0.00563881,0.00009951083,0.0009475584,0.0005207467,0.002219963,0.1590609,0.1032969,0.07060044,0.6557424],"study_design_scores_gemma":[0.00006706162,0.0007384039,0.0008924145,0.001433806,0.00006587275,0.001725357,0.0001267873,0.001178621,0.04322732,0.02608679,0.9243859,0.00007169689],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009469315,0.2198348,0.5927081,0.01344361,0.008719678,0.002655782,0.003100711,0.005319555,0.1447486],"genre_scores_gemma":[0.1016545,0.2828412,0.5211722,0.008191904,0.005207175,0.005572989,0.004934992,0.001581768,0.06884319],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02691903,"threshold_uncertainty_score":0.09005314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04618518798862048,"score_gpt":0.4078539097927861,"score_spread":0.3616687218041656,"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."}}