{"id":"W1978563069","doi":"10.3168/jds.s0022-0302(06)72460-2","title":"Detection and Quantification of Capsular Exopolysaccharides from Streptococcus thermophilus Using Lectin Probes","year":2006,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Streptococcal Infections and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Novalait; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Streptococcus thermophilus; Lectin; Microbiology; Chemistry; Streptococcus; Biology; Food science; Biochemistry; Bacteria; Genetics; Lactobacillus","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":[0.0003566777,0.000597899,0.0003272756,0.0005466708,0.0002128072,0.000340853,0.0002824522,0.0006843497,0.0004786452],"category_scores_gemma":[0.0004708892,0.0001843624,0.0002358377,0.0004127668,0.0002525513,0.0003415791,0.0003138602,0.0004887247,0.0003372186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165965,"about_ca_system_score_gemma":0.0002263605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001043361,"about_ca_topic_score_gemma":0.001403361,"domain_scores_codex":[0.9996192,0.0001312356,0.00002701375,0.00007033091,0.0001048469,0.00004726227],"domain_scores_gemma":[0.9997563,0.00005917097,0.00005774865,0.0000247218,0.00006903822,0.00003300224],"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":[0.0000121487,0.000004340498,0.0001065128,0.00001364015,9.340379e-7,0.000005236338,0.000005116366,0.00002267432,0.9993586,0.000009174429,0.000003197218,0.0004584284],"study_design_scores_gemma":[0.000003648245,0.0001631584,0.003973925,0.00000798944,0.000008349913,0.0001663795,0.00003847559,0.00174898,0.9930101,0.00004033561,0.0008283227,0.00001018552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526559,0.002095122,0.04338463,0.0001235502,0.00002595222,0.00006435721,0.000531504,0.0001465743,0.0009722983],"genre_scores_gemma":[0.8700784,0.002163194,0.1231721,0.0001593875,0.00002651416,0.0001537987,0.001589253,0.00004013561,0.002617207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001043361,"threshold_uncertainty_score":0.002297044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03060970872232534,"score_gpt":0.3006722182980421,"score_spread":0.2700625095757168,"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."}}