{"id":"W4200496366","doi":"10.1002/cpz1.331","title":"Drug‐releasing Microspheres for Stem Cell Differentiation","year":2021,"lang":"en","type":"article","venue":"Current Protocols","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Drug delivery; Tissue engineering; Stem cell; Biocompatibility; Nanotechnology; Materials science; Regeneration (biology); Microsphere; Biomedical engineering; Chemistry; Cell biology; Chemical engineering; Biology","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":[0.0003378483,0.0004796697,0.0003195434,0.0004208878,0.0002159766,0.0002883828,0.0002146391,0.0004313973,0.003715873],"category_scores_gemma":[0.0001627341,0.0001964829,0.0003567422,0.0002697974,0.0001761479,0.0003047655,0.000193923,0.0005207165,0.002170367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005803884,"about_ca_system_score_gemma":0.0004247026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007215556,"about_ca_topic_score_gemma":0.001290562,"domain_scores_codex":[0.9997942,0.00002194711,0.00001858312,0.00004618195,0.00009280028,0.00002627406],"domain_scores_gemma":[0.9999242,0.00002019156,0.00001627118,0.000008501598,0.0000182141,0.00001260409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000731075,0.00003067367,0.00005936103,0.0002453806,0.000008017064,0.00005563142,0.00002866709,0.0002338369,0.9746874,0.001122721,0.0007295334,0.02272573],"study_design_scores_gemma":[0.00004107541,0.0002215374,0.0003397572,0.00001837789,0.00001767624,0.0002189347,0.000006191833,0.0008230873,0.9510394,0.0001801486,0.04708025,0.00001358102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3875523,0.1338999,0.3957705,0.001645648,0.001734426,0.002204941,0.004027148,0.005212178,0.06795294],"genre_scores_gemma":[0.693341,0.04002262,0.2121247,0.0007977302,0.0002491288,0.00106443,0.002542641,0.0004103591,0.04944757],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003715873,"threshold_uncertainty_score":0.01243085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635642267420692,"score_gpt":0.3425283705947707,"score_spread":0.2961719479205638,"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."}}