{"id":"W2887203096","doi":"10.3390/s18082668","title":"Biosensors for the Detection of Interaction between Legionella pneumophila Collagen-Like Protein and Glycosaminoglycans","year":2018,"lang":"en","type":"article","venue":"Sensors","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Bacterial adhesin; Legionella pneumophila; Fucoidan; Legionella; Chemistry; Surface plasmon resonance; Dermatan sulfate; Microbiology; Biosensor; Biochemistry; Glycosaminoglycan; Glycan; Chondroitin sulfate; Biophysics; Glycoprotein; Biology; Materials science; Escherichia coli; Polysaccharide; Nanotechnology; Bacteria","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":[0.0007655461,0.0008054026,0.0005558162,0.0006879357,0.0002471876,0.0004269292,0.0008415005,0.001617104,0.0008750153],"category_scores_gemma":[0.001009397,0.0004107138,0.0003179744,0.0005258151,0.0002504154,0.0005326165,0.0004159404,0.0008832428,0.0006979766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005198251,"about_ca_system_score_gemma":0.0002433997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000490228,"about_ca_topic_score_gemma":0.000902949,"domain_scores_codex":[0.9991634,0.000203335,0.0000458154,0.0001611875,0.0003507996,0.00007541058],"domain_scores_gemma":[0.9996207,0.0001629022,0.00006756924,0.0000194869,0.00008655492,0.00004288921],"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":[0.0000216006,0.0000184022,0.0001283426,0.00004613677,0.000005743405,0.00003601424,0.00001817339,0.00006067185,0.9975872,0.000105074,0.00007731978,0.001895308],"study_design_scores_gemma":[0.00001388633,0.0001892544,0.001383696,0.00001350918,0.00001784558,0.0002664198,0.00006958465,0.007138442,0.9887542,0.0001521954,0.001985136,0.00001587819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6955134,0.008938219,0.2851012,0.001407998,0.0006291999,0.000333454,0.001181519,0.002349356,0.004545637],"genre_scores_gemma":[0.8188676,0.004412791,0.1691184,0.0007732371,0.00007202694,0.0004664338,0.0006486792,0.00004178108,0.005598959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001617104,"threshold_uncertainty_score":0.004048645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02293677184405297,"score_gpt":0.2857932435808261,"score_spread":0.2628564717367732,"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."}}