{"id":"W4210766754","doi":"10.3390/s22030948","title":"Development of a Real-Time Pectic Oligosaccharide-Detecting Biosensor Using the Rapid and Flexible Computational Identification of Non-Disruptive Conjugation Sites (CINC) Biosensor Design Platform","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada; University of Lethbridge","funders":"","keywords":"Biosensor; In silico; Chemistry; Rational design; Fluorophore; Ligand (biochemistry); Pipeline (software); Fluorescence; Combinatorial chemistry; Biochemistry; Nanotechnology; Computer science; Materials science","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":[0.0004031565,0.0006958751,0.0007210355,0.0001859743,0.0002187585,0.000377717,0.0009358828,0.0007109918,0.001028236],"category_scores_gemma":[0.0005178131,0.0003175024,0.0004875761,0.000159996,0.0002406842,0.000281934,0.0003268521,0.000854195,0.0001983063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005223177,"about_ca_system_score_gemma":0.0009714113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002145586,"about_ca_topic_score_gemma":0.002205385,"domain_scores_codex":[0.9998931,0.00001936921,0.000005308394,0.00002985321,0.0000368172,0.00001549936],"domain_scores_gemma":[0.9998654,0.00004844508,0.00001526082,0.00001058955,0.00003889332,0.00002141268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002057521,0.0002941229,0.002834077,0.0001617337,0.0001051754,0.0001985377,0.00004507398,0.837504,0.1271607,0.00321655,0.0009227169,0.02735161],"study_design_scores_gemma":[0.00002143609,0.00005654982,0.000120422,0.000001410584,0.000007991495,0.00001160679,0.000003461907,0.9843541,0.0149298,0.0001622422,0.0003255056,0.000005565656],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4072741,0.0001689346,0.5842831,0.0003785443,0.00008201008,0.0002805027,0.0004478057,0.003844908,0.003240148],"genre_scores_gemma":[0.5333562,0.0001627556,0.4634274,0.0001764984,0.00001596736,0.0006149735,0.0006013984,0.0001767253,0.001468003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002145586,"threshold_uncertainty_score":0.004266202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03951589662292738,"score_gpt":0.3031623864595142,"score_spread":0.2636464898365868,"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."}}