{"id":"W3088821797","doi":"10.1016/j.bprint.2020.e00104","title":"Bioprinting for combating infectious diseases","year":2020,"lang":"en","type":"review","venue":"Bioprinting","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation","keywords":"Pandemic; Infectious disease (medical specialty); Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Risk analysis (engineering); Disease; Pathology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006318496,0.0007419509,0.001884786,0.0004061268,0.0002682362,0.0003149756,0.0008648965,0.0005001722,0.00006788389],"category_scores_gemma":[0.002840847,0.0007140956,0.0008845879,0.0009372709,0.0001220379,0.00009824061,0.0006338219,0.00108492,0.0003515606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003185204,"about_ca_system_score_gemma":0.000178177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008662518,"about_ca_topic_score_gemma":0.000001087754,"domain_scores_codex":[0.9964114,0.00009200229,0.001186525,0.0007617667,0.0004846877,0.001063646],"domain_scores_gemma":[0.9973038,0.00133516,0.0002925232,0.0005295106,0.0001077092,0.0004312674],"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":[6.460647e-7,0.00001500886,0.00005763077,0.04158405,0.0002201769,0.00001271915,0.00002336571,0.0000133578,0.0000168796,0.0003389182,0.0002512888,0.9574659],"study_design_scores_gemma":[0.0001897904,0.00002654546,0.00001002845,0.009601396,0.0002907811,0.00002326426,0.00001401719,0.004238443,0.00002166265,0.00008874165,0.9847804,0.0007149366],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003143755,0.9867489,0.005728089,0.00002205855,0.001002443,0.001476092,0.00007527718,0.002139823,0.002775901],"genre_scores_gemma":[0.0003579204,0.9936163,0.003423266,0.00001683836,0.001528673,0.0005042182,0.00010285,0.0003592186,0.00009074047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9845291,"threshold_uncertainty_score":0.999531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04973569191983956,"score_gpt":0.3470435329196402,"score_spread":0.2973078409998006,"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."}}