{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009752621,0.001801978,0.001910221,0.004152786,0.0003173411,0.001714132,0.0009491109,0.001903853,0.01100568],"category_scores_gemma":[0.0009224886,0.0006221573,0.000763129,0.003306925,0.0006051683,0.001982603,0.00131754,0.002071361,0.004747827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006953186,"about_ca_system_score_gemma":0.001152516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001027651,"about_ca_topic_score_gemma":0.00263327,"domain_scores_codex":[0.9996248,0.0000583315,0.00004451695,0.00005241483,0.000174144,0.00004569969],"domain_scores_gemma":[0.9996202,0.0001807225,0.00007925303,0.00001425898,0.0000775978,0.00002796805],"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":[0.00007134934,0.0000847717,0.00003569571,0.02320039,0.0000666168,0.0001055205,0.00003961097,0.0004295615,0.005346184,0.004687907,0.02463736,0.9412951],"study_design_scores_gemma":[0.00002862675,0.0001517844,0.0002891269,0.005178559,0.000141959,0.0004864146,0.00003198074,0.0002038561,0.001829477,0.001942686,0.9896885,0.00002687707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001444417,0.9956111,0.0004411202,0.0001667153,0.0004479972,0.000011037,0.00002935161,0.00001733244,0.003130886],"genre_scores_gemma":[0.0008820246,0.9956582,0.0004171649,0.000235901,0.0002422627,0.00001407082,0.0000436217,0.000004958621,0.002501869],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01100568,"threshold_uncertainty_score":0.03681761,"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."}}