{"id":"W2152278776","doi":"10.1016/j.jneumeth.2012.04.016","title":"Generation of microisland cultures using microcontact printing to pattern protein substrates","year":2012,"lang":"en","type":"article","venue":"Journal of Neuroscience Methods","topic":"Nanofabrication and Lithography Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre; Montreal Neurological Institute and Hospital","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Microcontact printing; Cell biology; Extracellular matrix; Neural cell; Cell; Polyethylene glycol; Substrate (aquarium); Nanotechnology; Cell culture; Biology; Materials science; Chemistry; Biophysics; Biochemistry; Genetics","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":[0.0004687774,0.0006127552,0.000623768,0.0004076071,0.0004192069,0.0008466435,0.0008624549,0.0005496586,0.001400666],"category_scores_gemma":[0.0002728413,0.0004577503,0.000584537,0.0003749066,0.0002990661,0.000433934,0.0007008667,0.0019808,0.001635414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428749,"about_ca_system_score_gemma":0.0002822003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007276887,"about_ca_topic_score_gemma":0.002706567,"domain_scores_codex":[0.9997032,0.00002015489,0.00004540199,0.00005643772,0.0001210452,0.00005362059],"domain_scores_gemma":[0.9995277,0.0001149719,0.00006924495,0.0001223517,0.00009350837,0.00007221386],"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":[0.00001981376,0.000016504,0.00007681882,0.00002410841,0.00000573303,0.00005325485,0.00003535575,0.0000858476,0.9979756,0.0002368776,0.00007959247,0.001390416],"study_design_scores_gemma":[0.000003543076,0.00001707126,0.0003811044,0.000003775878,0.000007437936,0.00004015951,0.000009608876,0.0008906435,0.9968635,0.00002791865,0.001752409,0.000002873156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7737699,0.002149191,0.1917263,0.0005404174,0.0007272635,0.0007395899,0.005305311,0.001653789,0.02338835],"genre_scores_gemma":[0.7509438,0.002283912,0.2151378,0.0001942696,0.00008278993,0.0005915045,0.00628399,0.0007571283,0.02372479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001400666,"threshold_uncertainty_score":0.00468576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09989783389323362,"score_gpt":0.3942979383961911,"score_spread":0.2944001045029575,"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."}}