{"id":"W4324290679","doi":"10.1039/d2bm02060b","title":"3D bioprinting complex models of cancer","year":2023,"lang":"en","type":"review","venue":"Biomaterials Science","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Institute of Neurosciences, Mental Health and Addiction; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canadian Institutes of Health Research; University of Victoria; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada Research Chairs","keywords":"Computational biology; 3D bioprinting; Cancer; Computer science; Biology; Biomedical engineering; Medicine; Tissue engineering; Genetics","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":[0.0006554364,0.001019801,0.001292966,0.002347079,0.0002122969,0.0009517967,0.000954051,0.001216053,0.002588793],"category_scores_gemma":[0.0005339091,0.0004152473,0.0005878659,0.001701868,0.0004496072,0.0008642853,0.0006435415,0.001396347,0.001977179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006100844,"about_ca_system_score_gemma":0.0005975757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139714,"about_ca_topic_score_gemma":0.002095494,"domain_scores_codex":[0.9997992,0.00003158016,0.00002223881,0.00002970297,0.0001002699,0.00001705268],"domain_scores_gemma":[0.999779,0.0001101628,0.00003017098,0.000008289402,0.00005879628,0.00001361307],"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":[0.00006595682,0.00008007245,0.00007939259,0.01898839,0.0001002685,0.0001776177,0.00006090371,0.001389295,0.008184356,0.01080549,0.01957549,0.9404927],"study_design_scores_gemma":[0.00001455974,0.00008616811,0.0003370884,0.002948126,0.00009385063,0.0009828566,0.00003303947,0.0003331754,0.003462195,0.00250445,0.9891801,0.0000244258],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001595798,0.9979589,0.0004048519,0.00008823962,0.000132378,0.000006464531,0.00001846263,0.000008753819,0.001222398],"genre_scores_gemma":[0.0009385349,0.9975682,0.0003787242,0.00008459252,0.00005287293,0.000008940542,0.00004138811,0.000002764471,0.0009239256],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002588793,"threshold_uncertainty_score":0.008660316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2758631455104485,"score_gpt":0.4458233492039339,"score_spread":0.1699602036934854,"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."}}