{"id":"W2767071975","doi":"10.1080/14686996.2017.1388135","title":"Manipulating mammalian cell morphologies using chemical-mechanical polished integrated circuit chips","year":2017,"lang":"en","type":"article","venue":"Science and Technology of Advanced Materials","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tungsten; Materials science; Silicon; Substrate (aquarium); Nanotechnology; Surface roughness; Optoelectronics; Composite material; Metallurgy","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":[0.0001161106,0.0002338685,0.0001855591,0.0001369683,0.00007195311,0.0003507253,0.0004077839,0.0002152271,0.0002848412],"category_scores_gemma":[0.0002293131,0.0001727421,0.0001276593,0.0001621937,0.0001910549,0.0002025222,0.0001946041,0.0002422458,0.0001378193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010387,"about_ca_system_score_gemma":0.00008569931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002542832,"about_ca_topic_score_gemma":0.0005062486,"domain_scores_codex":[0.9998823,0.00000992319,0.00001061749,0.00004279215,0.00003836233,0.00001591425],"domain_scores_gemma":[0.9999055,0.00002855029,0.00002844101,0.00001582873,0.00001490712,0.000006764442],"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":[0.000006748648,0.000005319815,0.00008758225,0.00001170533,0.000001845555,0.00001235675,0.00000641516,0.000208994,0.9985949,0.00009403824,0.00001064951,0.0009593387],"study_design_scores_gemma":[0.000003015123,0.00003458275,0.0009271412,0.000001058245,0.000004124067,0.0000361526,0.000006537121,0.002824383,0.9953089,0.00003630901,0.0008151003,0.000002722989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9415143,0.0007239532,0.05547557,0.0000491121,0.00004670372,0.00006823978,0.0002358206,0.0002272649,0.001658982],"genre_scores_gemma":[0.9325634,0.0006884666,0.06434105,0.00005810391,0.000009311194,0.00009413629,0.0002302681,0.00004177304,0.001973438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004077839,"threshold_uncertainty_score":0.001458585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05129758345526585,"score_gpt":0.2912136870088904,"score_spread":0.2399161035536245,"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."}}