{"id":"W2605174594","doi":"10.1002/adma.201606061","title":"Emerging Biofabrication Strategies for Engineering Complex Tissue Constructs","year":2017,"lang":"en","type":"review","venue":"Advanced Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":388,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Health Resources and Services Administration; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Villum Fonden","keywords":"Biofabrication; Materials science; Tissue engineering; Nanotechnology; Systems engineering; Engineering ethics; Biochemical engineering; Biomedical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009012385,0.001421582,0.000803537,0.002430928,0.0003181624,0.0009990761,0.0008447584,0.001271144,0.001857162],"category_scores_gemma":[0.0005849813,0.0005594173,0.000634315,0.002135898,0.0008527458,0.001827846,0.0008036876,0.002163755,0.001438469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006957219,"about_ca_system_score_gemma":0.0005119925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006585038,"about_ca_topic_score_gemma":0.0009272484,"domain_scores_codex":[0.9996696,0.00003284982,0.00003480115,0.00007019159,0.0001587983,0.00003382107],"domain_scores_gemma":[0.9997477,0.0001189554,0.00005465046,0.00001505566,0.00005110751,0.00001251195],"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":[0.00003563667,0.0001116082,0.0001992499,0.02001981,0.00007759928,0.0004210533,0.0003074403,0.001484016,0.0889748,0.02402164,0.008173692,0.8561735],"study_design_scores_gemma":[0.00001739121,0.0001347367,0.0007328245,0.002133419,0.000073141,0.002570511,0.0001159658,0.0007431232,0.0399799,0.004866378,0.9485753,0.00005718695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001000127,0.9908765,0.004397515,0.0001707733,0.0002154045,0.00001845787,0.00002061276,0.00002772838,0.003272989],"genre_scores_gemma":[0.005298918,0.9879472,0.004107787,0.0001619107,0.0001157435,0.00003804039,0.00004608027,0.000009105661,0.002275248],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002430928,"threshold_uncertainty_score":0.006212831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1148186347256097,"score_gpt":0.4252680816229375,"score_spread":0.3104494468973278,"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."}}