{"id":"W2093593485","doi":"10.1002/term.114","title":"Are micropatterned substrates for directed cell organization an effective method to create ordered 3D tissue constructs?","year":2008,"lang":"en","type":"article","venue":"Journal of Tissue Engineering and Regenerative Medicine","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Nanotechnology; Materials science; Tissue engineering; Extracellular matrix; Substrate (aquarium); Layer (electronics); Polarization (electrochemistry); Cell adhesion; Adhesion; Biomedical engineering; Chemistry; Cell biology; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005276056,0.0002318788,0.0005093445,0.0003254771,0.00009484245,0.00002100291,0.0001491557,0.0001076733,0.0000445605],"category_scores_gemma":[0.0008527038,0.0001786552,0.00002095546,0.0004699891,0.00008439954,0.00009823917,0.0000230503,0.0002850838,0.000002233634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007598988,"about_ca_system_score_gemma":0.00002240393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229553,"about_ca_topic_score_gemma":0.000002551024,"domain_scores_codex":[0.9987714,0.00008689814,0.0004148394,0.0001857157,0.0002693261,0.0002718721],"domain_scores_gemma":[0.9984527,0.000395288,0.0001332947,0.0001204582,0.000551348,0.000346918],"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":[0.00003351214,0.00002395586,0.0005368387,0.0002556229,0.00009421891,0.00009982802,0.001561405,0.02261425,0.9641315,0.00001084635,0.001053124,0.009584897],"study_design_scores_gemma":[0.001249129,0.0007676454,0.006236144,0.0003059989,0.00004797821,0.0003950899,0.0001435739,0.01728431,0.9691814,0.000006857846,0.004157442,0.0002243892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6493815,0.001499227,0.3480103,0.0002666975,0.0003978441,0.0003269206,0.000009250128,0.00008970689,0.00001860474],"genre_scores_gemma":[0.8849446,0.0001790785,0.1136819,0.00002750275,0.0008563519,0.00001394701,0.00001315213,0.00007196118,0.0002115788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2355631,"threshold_uncertainty_score":0.7285349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01581693450483309,"score_gpt":0.2923240681761267,"score_spread":0.2765071336712936,"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."}}