{"id":"W2947058954","doi":"10.1021/acsami.9b05666","title":"Biomimetic Octopus-like Particles for Ultraspecific Capture and Detection of Pathogens","year":2019,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Program for Jilin University Science and Technology Innovative Research Team","keywords":"octopus (software); Pathogenic bacteria; Bacteria; Materials science; Nanotechnology; Biology; Microbiology; Computational biology; Chemistry","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":[0.0003679119,0.0002386467,0.00047367,0.00008336938,0.00008884524,0.0001292306,0.0001859944,0.000102979,0.0003503038],"category_scores_gemma":[0.00003247776,0.0002013653,0.0000216339,0.00008054001,0.0001564427,0.0001658015,0.0001138676,0.0000464952,0.0002194103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000297066,"about_ca_system_score_gemma":0.00001869482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009955164,"about_ca_topic_score_gemma":0.00003527329,"domain_scores_codex":[0.9984972,0.00004858441,0.0005128012,0.000448875,0.0001729169,0.0003195835],"domain_scores_gemma":[0.9990208,0.0002235772,0.0003215338,0.000302562,0.00008783991,0.00004369906],"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":[0.0003434063,0.00003700003,0.00006803875,0.000123041,0.00003600796,2.821619e-7,0.0007381366,0.000007244524,0.9974058,0.0002910005,0.0000641482,0.0008859194],"study_design_scores_gemma":[0.0004756408,0.0001178031,0.0003884516,0.00003650753,0.00004768921,0.000007563881,0.001466031,0.000001429576,0.9964964,0.0003585655,0.0003914624,0.0002124811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964283,0.0005143905,0.0001365231,0.00006127803,0.001681486,0.0006395146,0.0002304754,0.00009211429,0.0002159021],"genre_scores_gemma":[0.9990466,0.0000560007,0.0004654868,0.00005130169,0.00005392081,0.000106405,0.00000555514,0.00003163964,0.0001831179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002618256,"threshold_uncertainty_score":0.8211439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247717154534413,"score_gpt":0.2378546850967613,"score_spread":0.2253775135514171,"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."}}