{"id":"W2892637497","doi":"10.1016/j.jcis.2018.09.079","title":"Magnetic nano-nets for capture of microbes in solution based on physical contact","year":2018,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Gold and Silver Nanoparticles Synthesis and Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; University of Waterloo; Canada Foundation for Innovation","keywords":"Aqueous solution; Nano-; Nanomaterials; Nanotechnology; Nanoparticle; Ion; Chemistry; Chemical engineering; Materials science; Organic chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002164761,0.0004566016,0.0003379749,0.000304503,0.0002820341,0.0004476878,0.0005378105,0.0006247179,0.001243238],"category_scores_gemma":[0.0002065587,0.0002333656,0.0002523476,0.0001231823,0.0002723914,0.0006275139,0.0005846789,0.0004741656,0.0008083963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005400865,"about_ca_system_score_gemma":0.0001779139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000407591,"about_ca_topic_score_gemma":0.00173075,"domain_scores_codex":[0.9997808,0.00003232165,0.000009998565,0.00005229249,0.00007570846,0.00004893021],"domain_scores_gemma":[0.9998919,0.00003332103,0.00001975196,0.000009921157,0.00002307827,0.00002192611],"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":[0.0001075652,0.00004553794,0.0001151398,0.0001179063,0.000009369937,0.00003592782,0.00002807449,0.0002425067,0.9924951,0.0007579455,0.0002206419,0.00582438],"study_design_scores_gemma":[0.00002123011,0.0002772835,0.0004494314,0.000008420564,0.00001324835,0.00006776921,0.00002436322,0.007125178,0.9894794,0.0001342473,0.00238719,0.00001231347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480208,0.005373016,0.03174656,0.0004871345,0.0004293424,0.0002679959,0.0001980261,0.0004468303,0.01303039],"genre_scores_gemma":[0.9795281,0.001025262,0.01171069,0.0002401463,0.00006649938,0.00009664518,0.0001113444,0.00001875628,0.007202693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001243238,"threshold_uncertainty_score":0.004159033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023714825613771,"score_gpt":0.2690104933596717,"score_spread":0.258773345103534,"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."}}