{"id":"W1997654261","doi":"10.1371/journal.pone.0020909","title":"A Fast and Accessible Methodology for Micro-Patterning Cells on Standard Culture Substrates Using Parafilm™ Inserts","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association","keywords":"Micropatterning; Nanotechnology; Tissue engineering; Computer science; Materials science; 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":[0.001196598,0.001441777,0.0009103423,0.001824487,0.0007882573,0.0008349164,0.001441095,0.0009297787,0.0040913],"category_scores_gemma":[0.0007654221,0.001278966,0.001399282,0.0007263792,0.0006107192,0.000741665,0.0008903214,0.002535415,0.006023259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992986,"about_ca_system_score_gemma":0.000621951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003630326,"about_ca_topic_score_gemma":0.001443497,"domain_scores_codex":[0.9979487,0.0001730514,0.0003380119,0.0003302293,0.001082403,0.000127629],"domain_scores_gemma":[0.9989315,0.0002830074,0.0002656738,0.0002702488,0.0001560333,0.00009356959],"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":[0.00002357166,0.0000735021,0.0001773619,0.0002413947,0.00001790293,0.0001311546,0.00006831224,0.0001181973,0.9824552,0.0005013617,0.001250286,0.01494183],"study_design_scores_gemma":[0.00002396878,0.0004621496,0.004067563,0.00006863129,0.000102836,0.002120808,0.00004187112,0.001752041,0.914363,0.0002894071,0.07661555,0.00009228579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04774132,0.004672052,0.9247975,0.0006003498,0.0008894067,0.002423903,0.002116376,0.006221833,0.01053726],"genre_scores_gemma":[0.09241356,0.005720885,0.8788365,0.0003101375,0.0002049284,0.004659115,0.003490746,0.0006417133,0.01372235],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0040913,"threshold_uncertainty_score":0.01368672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2979725970509167,"score_gpt":0.3337367627079237,"score_spread":0.03576416565700702,"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."}}