{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001872983,0.0001131459,0.0001134443,0.00005472631,0.0001913048,0.00001980124,0.000105287,0.0001185873,0.000001820802],"category_scores_gemma":[0.00008335042,0.00008426996,0.00006551232,0.0001132561,0.0002938127,0.000003680396,0.00005705326,0.00005566271,0.000004368963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001157038,"about_ca_system_score_gemma":0.0000300468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001091308,"about_ca_topic_score_gemma":0.0001082051,"domain_scores_codex":[0.9992071,0.0000532549,0.0001679202,0.0002562305,0.000116075,0.0001993793],"domain_scores_gemma":[0.9994035,0.00005345684,0.00008565398,0.0002348718,0.0001691263,0.00005332848],"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":[0.0002417853,0.00001452908,0.0005675454,0.00002501918,0.00005953197,5.083996e-7,0.0001025414,0.000008617663,0.9938583,0.00002062629,0.000176296,0.004924704],"study_design_scores_gemma":[0.0004067377,0.0006490509,0.003090315,0.0000140389,0.00002518496,0.00001325678,0.0003926987,0.0004102058,0.9528578,0.00004023828,0.04198807,0.0001123859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978695,0.0001262767,0.0005708032,0.0004969281,0.0001590597,0.0005771327,0.00002229372,0.000008553895,0.0001694728],"genre_scores_gemma":[0.9980648,0.00008469008,0.0000860084,0.00003640325,0.0006459857,0.00002863056,0.00001575754,0.00001966886,0.00101805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04181178,"threshold_uncertainty_score":0.3436429,"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."}}