{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001329305,0.0002935824,0.0001104034,0.0002216648,0.0001144073,0.0002406989,0.0001955352,0.0003317767,0.000412721],"category_scores_gemma":[0.0001476431,0.0001287565,0.000177563,0.0001084883,0.0001991195,0.0002174517,0.0002515955,0.0002634256,0.0001269181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162173,"about_ca_system_score_gemma":0.0001645723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003961246,"about_ca_topic_score_gemma":0.0009888748,"domain_scores_codex":[0.9999141,0.00001308995,0.000006484841,0.00001955869,0.00002594325,0.00002092091],"domain_scores_gemma":[0.9999061,0.00002067715,0.00003129083,0.000007143357,0.00001141307,0.00002335269],"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":[0.00002060015,0.00001197104,0.0001368694,0.00003799665,0.000003110579,0.00003101052,0.000009788706,0.0001861902,0.9978789,0.0001179243,0.00003251766,0.00153322],"study_design_scores_gemma":[0.00000999759,0.0003988419,0.002244717,0.000009585418,0.00001390317,0.0002137438,0.00003215832,0.00412642,0.9910036,0.00005091047,0.00188091,0.00001504317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778367,0.0009816603,0.01862684,0.00007764917,0.00005516758,0.00006719387,0.0001143322,0.00009154005,0.002148918],"genre_scores_gemma":[0.988394,0.0003780469,0.009683318,0.00008113923,0.000007817791,0.00003476544,0.00009185226,0.000006790479,0.001322198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000412721,"threshold_uncertainty_score":0.001380742,"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."}}