{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000134816,0.0001880119,0.0003009744,0.00008176083,0.0001144311,0.00004518439,0.0001801013,0.0001109959,0.000009461883],"category_scores_gemma":[0.0001387428,0.0001420241,0.0000336109,0.0004319774,0.0001744006,0.0001467144,0.00006528953,0.0001172313,0.000165889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004584578,"about_ca_system_score_gemma":0.00004139034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004690022,"about_ca_topic_score_gemma":0.00004673169,"domain_scores_codex":[0.9986891,0.00003393569,0.0003056846,0.0004776239,0.0001599953,0.0003336898],"domain_scores_gemma":[0.9994123,0.0000567952,0.0001468318,0.0001994209,0.0001286539,0.00005598368],"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":[0.0001017863,0.00003557232,0.01165608,0.00004359699,0.0000113148,0.000002926442,0.0006018631,0.0004221309,0.9867183,0.00009896649,0.00008120111,0.0002262392],"study_design_scores_gemma":[0.0004875374,0.0001307071,0.001015005,0.00005270473,0.00001248782,0.000006538316,0.001208976,0.001725759,0.9896066,0.00001831163,0.005508853,0.000226554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876216,0.0003652699,0.001639302,0.008995655,0.0001159271,0.0008428161,0.00001651061,0.0003147725,0.00008817076],"genre_scores_gemma":[0.9911918,0.00002109306,0.008216336,0.000266553,0.00005919179,0.0000938036,0.000001902164,0.00002982449,0.0001195137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01064107,"threshold_uncertainty_score":0.5791575,"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."}}