{"id":"W1978978327","doi":"10.1016/j.biomaterials.2006.04.028","title":"A photolithographic method to create cellular micropatterns","year":2006,"lang":"en","type":"article","venue":"Biomaterials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Chitosan; Biomedical engineering; Coating; Ultraviolet; Polystyrene; Polymer; Photoresist; Layer (electronics); Nanotechnology; Composite material; Optoelectronics; Chemical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002030131,0.0003460629,0.0002510233,0.0005326858,0.0003398104,0.0004850293,0.0003452091,0.0005288848,0.001327845],"category_scores_gemma":[0.0002108356,0.0004079247,0.000346924,0.0002990644,0.0003455245,0.0003722471,0.000301355,0.0007649263,0.0008494363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003903774,"about_ca_system_score_gemma":0.0002924086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003003952,"about_ca_topic_score_gemma":0.001022657,"domain_scores_codex":[0.9998181,0.0000124412,0.00001779646,0.00003854491,0.00008745652,0.00002569418],"domain_scores_gemma":[0.9998709,0.00003858052,0.00003110741,0.00003100245,0.00001486023,0.00001348633],"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":[0.000008819065,0.00001074264,0.00001924137,0.00003425287,0.000002077168,0.00003210424,0.00001560922,0.00005709886,0.9955439,0.0004374412,0.00009569705,0.003743045],"study_design_scores_gemma":[0.000003283219,0.00002452711,0.0002666401,0.000002934029,0.000005620439,0.0001809985,0.00000452349,0.0005365837,0.9944612,0.00009889321,0.004408208,0.000006610537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4860587,0.009219929,0.475037,0.000998149,0.0009722192,0.0003698407,0.001168379,0.003046406,0.02312953],"genre_scores_gemma":[0.7509291,0.003519184,0.2279729,0.0003926418,0.00009281333,0.0002913756,0.0004662097,0.0002838596,0.01605199],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001327845,"threshold_uncertainty_score":0.004442096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008581386522063923,"score_gpt":0.2615415675359761,"score_spread":0.2529601810139122,"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."}}