{"id":"W2792905025","doi":"10.1002/adfm.201707378","title":"Engineering of Mature Human Induced Pluripotent Stem Cell‐Derived Cardiomyocytes Using Substrates with Multiscale Topography","year":2018,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"American Heart Association; U.S. Department of Defense; National Institutes of Health; National Science Foundation","keywords":"Induced pluripotent stem cell; Materials science; Cell biology; Cellular differentiation; Biophysics; Cell; Biology; Nanotechnology; Embryonic stem cell; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001689825,0.0002241994,0.0003172468,0.0001927586,0.00009087972,0.00004288895,0.000152766,0.0001278073,0.0002235657],"category_scores_gemma":[0.00001509827,0.000197699,0.000055864,0.0003146409,0.0001216825,0.0001579923,0.00005501793,0.0001460426,0.00001483393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006273137,"about_ca_system_score_gemma":0.00002261803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002475125,"about_ca_topic_score_gemma":0.000003429183,"domain_scores_codex":[0.9986167,0.0000281193,0.0003383558,0.0002568045,0.0003979048,0.0003621117],"domain_scores_gemma":[0.999316,0.00007715562,0.0000691402,0.0002521417,0.0001787387,0.0001068108],"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":[0.00006197741,0.00001768016,0.0002436434,0.000227161,0.00008038744,0.000004331082,0.00004770931,0.01056118,0.9882986,0.00007402827,0.00001208369,0.0003712072],"study_design_scores_gemma":[0.0004923407,0.0001177418,0.01154919,0.0001426234,0.00001927736,0.000009553459,0.00007177243,0.0006307694,0.9865821,0.00003737245,0.0001300766,0.0002171933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947303,0.00009871078,0.003807316,0.000007334447,0.0007258425,0.0002247355,0.00003460206,0.0002080957,0.0001630661],"genre_scores_gemma":[0.9925644,0.000009808406,0.006989781,0.000005734066,0.0002949009,0.00003151266,0.00002329818,0.00005716962,0.00002343056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01130555,"threshold_uncertainty_score":0.8061932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963135989242647,"score_gpt":0.238594872986046,"score_spread":0.2189635130936195,"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."}}