{"id":"W2082627607","doi":"10.1021/la047241v","title":"Force Microscopy Studies of Fibronectin Adsorption and Subsequent Cellular Adhesion to Substrates with Well-Defined Surface Chemistries","year":2005,"lang":"en","type":"article","venue":"Langmuir","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Chemistry; Office of Naval Research","keywords":"Adsorption; Adhesion; Chemistry; Fibronectin; Atomic force microscopy; Microscopy; Biophysics; Chemical engineering; Nanotechnology; Materials science; Biochemistry; Physical chemistry; Organic chemistry; Optics; Extracellular matrix; Biology","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":[0.00005496352,0.0001309698,0.000175664,0.00001791082,0.00007916257,0.00002050601,0.00007106139,0.00002749605,0.00004837229],"category_scores_gemma":[0.000001163559,0.0001065281,0.00002908931,0.00009371488,0.00006970078,0.00005572219,0.00003528559,0.00005578836,0.00001163249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001902196,"about_ca_system_score_gemma":0.00001239062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001242203,"about_ca_topic_score_gemma":0.00001356061,"domain_scores_codex":[0.9994241,0.000007635767,0.0001583246,0.0001910975,0.00006712109,0.0001517167],"domain_scores_gemma":[0.9996463,0.00002359154,0.00008180062,0.0001456418,0.00006243896,0.00004023602],"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":[0.00003013454,0.00003894699,0.006680897,0.00004003284,0.00002431488,1.01574e-7,0.0004433959,0.0000666758,0.9895338,0.001865505,0.00104525,0.000230945],"study_design_scores_gemma":[0.0001945172,0.00007981124,0.0006316532,0.0000549851,0.00001977367,5.329709e-7,0.0006244386,0.00003491327,0.9936487,0.0002016273,0.004382559,0.0001264911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965689,0.0003501749,0.001703045,0.0003971887,0.000005953235,0.0002294727,0.00003909415,0.00004406128,0.0006621349],"genre_scores_gemma":[0.9883912,0.00001629359,0.01018167,0.00001993065,0.0000477743,0.00002963018,0.00005312257,0.0000148494,0.001245584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008478625,"threshold_uncertainty_score":0.434409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191524299752858,"score_gpt":0.2761196576240397,"score_spread":0.2642044146265111,"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."}}