{"id":"W3010059640","doi":"10.3390/bios10030020","title":"Surface Probe Linker with Tandem Anti-Fouling Properties for Application in Biosensor Technology","year":2020,"lang":"en","type":"article","venue":"Biosensors","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; European Commission","keywords":"Fouling; Biosensor; Linker; Monolayer; Quartz crystal microbalance; Tandem; Materials science; Chemical engineering; Chemistry; Nanotechnology; Combinatorial chemistry; Membrane; Organic chemistry; Composite material; Computer science; Adsorption; Biochemistry","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":[0.0003151255,0.000572805,0.0002976331,0.0002154817,0.0001510571,0.0002649318,0.0005647221,0.0007640298,0.001044708],"category_scores_gemma":[0.000353333,0.0001816798,0.0003119183,0.0002470446,0.0002041636,0.000400449,0.0002732987,0.00061898,0.0006423175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259037,"about_ca_system_score_gemma":0.0001790514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001756126,"about_ca_topic_score_gemma":0.0003122128,"domain_scores_codex":[0.9998727,0.00002647681,0.000007581003,0.00002967423,0.00004338336,0.00002015227],"domain_scores_gemma":[0.9997972,0.00006905606,0.0000595894,0.00001472702,0.00003330894,0.00002625493],"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":[0.00001113839,0.000005695052,0.0000276107,0.00002756997,0.000001854879,0.00001852643,0.000006249603,0.00003619859,0.9985398,0.00005488677,0.00001162888,0.001258712],"study_design_scores_gemma":[0.000004857613,0.0002241044,0.0003557334,0.000003481147,0.000009493146,0.000253457,0.000009196379,0.0004747266,0.9959143,0.00002920692,0.002717161,0.000004271561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449578,0.00838166,0.1417425,0.0006335708,0.0001291817,0.0002205614,0.0003522923,0.0007221804,0.002860249],"genre_scores_gemma":[0.8704477,0.004775501,0.1189614,0.0003724994,0.00007351682,0.0002630558,0.0007859786,0.00008572402,0.00423468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001044708,"threshold_uncertainty_score":0.003494918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397680016523551,"score_gpt":0.2658169731606632,"score_spread":0.2260489715083081,"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."}}