{"id":"W999219667","doi":"10.1016/j.yexcr.2015.07.028","title":"Tuning cell adhesion by direct nanostructuring silicon into cell repulsive/adhesive patterns","year":2015,"lang":"en","type":"article","venue":"Experimental Cell Research","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Cell adhesion; HeLa; Nanotechnology; Adhesion; Cell; Wetting; Microtechnology; Nanorod; Biophysics; Biology; Composite material","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001584096,0.0004018833,0.0003673986,0.0004610572,0.0003315131,0.0002454226,0.001032411,0.0003001914,0.0005909817],"category_scores_gemma":[0.000213881,0.0004054497,0.0001184104,0.0006257799,0.000281379,0.0002815631,0.001009548,0.001370623,0.000831137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127794,"about_ca_system_score_gemma":0.00012426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000929796,"about_ca_topic_score_gemma":0.000006371647,"domain_scores_codex":[0.9943147,0.0004848402,0.0004912306,0.0008062346,0.002390483,0.001512506],"domain_scores_gemma":[0.9973136,0.0005425319,0.00005268857,0.0007799763,0.0002269886,0.001084214],"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":[0.00005493681,0.0001668243,0.0008996637,0.0002238076,0.00001051753,0.00008941925,0.003107185,0.00008146222,0.9716982,0.000003116672,0.02269059,0.0009742414],"study_design_scores_gemma":[0.0009400632,0.0004175678,0.0001024877,0.00008121302,0.000002838452,0.000003531536,0.004584641,0.002506343,0.9793944,0.00004272682,0.01151648,0.0004076691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143673,0.005548849,0.00005525495,0.00004840658,0.0004638619,0.000564097,0.00001575842,0.0003072461,0.07862921],"genre_scores_gemma":[0.9949639,0.000237426,0.000609984,0.00002325913,0.0002393628,0.0001303762,0.00006049361,0.0001608816,0.003574362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08059654,"threshold_uncertainty_score":0.9999468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04109877220805461,"score_gpt":0.3335021916992813,"score_spread":0.2924034194912267,"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."}}