{"id":"W2106456298","doi":"10.1039/c4lc00122b","title":"Defined topologically-complex protein matrices to manipulate cell shape<i>via</i>three-dimensional fiber-like patterns","year":2014,"lang":"en","type":"article","venue":"Lab on a Chip","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Human Genome Research Institute; Institut National de la Santé et de la Recherche Médicale","keywords":"Adhesive; Fiber; Microstructure; Materials science; Nanotechnology; Composite material","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001284203,0.0002090608,0.0001642368,0.00005283201,0.0001163439,0.00004058884,0.0002332734,0.0001400306,0.001265017],"category_scores_gemma":[0.00003279222,0.0001804631,0.0001263622,0.00007693574,0.00001415033,0.000003269494,0.0001716343,0.0001341694,0.0005304771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001420652,"about_ca_system_score_gemma":0.00001460554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008583296,"about_ca_topic_score_gemma":0.0001541674,"domain_scores_codex":[0.998786,0.00005956706,0.0002226392,0.0004658469,0.0001651993,0.0003007799],"domain_scores_gemma":[0.9992936,0.00001728688,0.00008242475,0.0003988195,0.00005935622,0.0001485547],"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":[0.0001062116,0.000181105,0.0001814946,0.00001971653,0.00001976022,0.000004141419,0.00000708358,0.00008679328,0.9939871,0.000680302,0.001876244,0.002850017],"study_design_scores_gemma":[0.001204745,0.002582268,0.006268709,0.00006444938,0.00003474203,0.00003336034,0.000009630022,0.007066874,0.5530862,0.001269217,0.427567,0.0008127606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923151,0.00004253242,0.003057099,0.0006224118,0.0001894899,0.0003376023,0.00003215785,0.00003325676,0.003370314],"genre_scores_gemma":[0.991282,0.000004376308,0.001808253,0.002873044,0.0002335513,0.00005419295,0.0002033711,0.00003066613,0.00351047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4409009,"threshold_uncertainty_score":0.999648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0164662641507526,"score_gpt":0.2350526358887411,"score_spread":0.2185863717379885,"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."}}