{"id":"W4281626617","doi":"10.3390/bios12060380","title":"Investigation of Conditions for Capture of Live Legionella pneumophila with Polyclonal and Recombinant Antibodies","year":2022,"lang":"en","type":"article","venue":"Biosensors","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Polyclonal antibodies; Legionella pneumophila; Legionella; Microbiology; Bacteria; Biosensor; Recombinant DNA; Immunoassay; Antibody; Biology; Chemistry; Biochemistry; Immunology","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":[0.001351611,0.0008627739,0.0006092063,0.0003459112,0.000244275,0.0006167923,0.0004970545,0.0007133275,0.000713606],"category_scores_gemma":[0.001403813,0.0003723811,0.0004376226,0.0003629378,0.0003658728,0.0005962137,0.000412673,0.0007771282,0.0004180223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072801,"about_ca_system_score_gemma":0.0003198756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623576,"about_ca_topic_score_gemma":0.001798194,"domain_scores_codex":[0.9983749,0.0004579202,0.0001393878,0.0003151123,0.0004527468,0.0002598676],"domain_scores_gemma":[0.9990892,0.0004025385,0.0001653176,0.00005607012,0.0002230206,0.00006377282],"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":[0.0000254261,0.00002295455,0.00008947068,0.00006113496,0.000004237821,0.000010494,0.0000224529,0.00005401314,0.9992883,0.00001419639,0.0000120344,0.0003953582],"study_design_scores_gemma":[0.000006933073,0.0003252681,0.001046498,0.000008479394,0.00001716643,0.00007376112,0.00003858036,0.0005138024,0.997343,0.00001879272,0.0005970202,0.00001078785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706506,0.002798539,0.02480372,0.0001584132,0.00007311442,0.0001954737,0.0003596568,0.0001291909,0.0008312757],"genre_scores_gemma":[0.9566509,0.002330856,0.0376162,0.0001807278,0.00006167259,0.0003013215,0.001307553,0.0001133828,0.001437433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001623576,"threshold_uncertainty_score":0.007148087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017690334614031,"score_gpt":0.2522269898738162,"score_spread":0.2345366552597852,"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."}}