{"id":"W1985762761","doi":"10.4161/cam.22198","title":"Separation of distinct adhesion complexes and associated cytoskeleton by a micro-stencil-printing method","year":2012,"lang":"en","type":"article","venue":"Cell Adhesion & Migration","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Centre National de la Recherche Scientifique; Conseil National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Hemidesmosome; Stencil; Extracellular matrix; Focal adhesion; Fibronectin; Adhesion; Microcontact printing; Actin; Cytoskeleton; Cell adhesion; Materials science; Laminin; Nanotechnology; Cell biology; Biophysics; Chemistry; Biology; Cell; Computer science; Biochemistry; Basement membrane; Signal transduction","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.000359957,0.0001416535,0.0001503177,0.00005847008,0.0001244724,0.00002239863,0.00006418971,0.0001500451,0.0000313873],"category_scores_gemma":[0.0001072703,0.0001373561,0.00008123512,0.0001049651,0.00001899871,0.00002083164,0.00006390174,0.00007903155,0.000007256175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002627549,"about_ca_system_score_gemma":0.00001811076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008677364,"about_ca_topic_score_gemma":0.00005849234,"domain_scores_codex":[0.9990209,0.0001420853,0.0002957532,0.0002314407,0.0001263385,0.0001834456],"domain_scores_gemma":[0.9993446,0.0000358686,0.0002560754,0.0001693142,0.000118779,0.00007529525],"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":[0.00002656703,0.000135397,0.003678734,0.00002199353,0.00001257605,7.643212e-8,0.0001233637,0.000002712493,0.9921634,0.00004295549,0.002784029,0.00100815],"study_design_scores_gemma":[0.0002640357,0.0001970047,0.003219026,0.00002154306,0.00003555603,0.000003483631,0.0001523127,0.001091258,0.9752426,0.00002085014,0.01960796,0.0001443827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788848,0.000879872,0.0194758,0.00005354027,0.0001231898,0.0001765184,0.00002623773,0.00001252724,0.0003675415],"genre_scores_gemma":[0.9954671,0.0001721352,0.002396276,0.00005240008,0.00008174578,0.00001182544,0.000836122,0.00001761132,0.0009647775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01707952,"threshold_uncertainty_score":0.5601217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625097489870605,"score_gpt":0.2875789607198853,"score_spread":0.2713279858211793,"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."}}