{"id":"W4407857225","doi":"10.1007/s12161-025-02764-4","title":"Conjugated Polymer-Based Smart Biosensors for Pathogen Detection in Food Sector","year":2025,"lang":"en","type":"article","venue":"Food Analytical Methods","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Biosensor; Conjugated system; Foodborne pathogen; Pathogen; Nanotechnology; Chemistry; Polymer; Environmental chemistry; Materials science; Biology; Microbiology; Organic chemistry; Bacteria","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":[0.000368918,0.0004766787,0.000340826,0.000405907,0.0001424836,0.0005617108,0.0004610849,0.0008590377,0.001269443],"category_scores_gemma":[0.0004372319,0.0003212344,0.0003149961,0.0003400322,0.0002953119,0.0006455188,0.0005658873,0.0006471978,0.000921784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213891,"about_ca_system_score_gemma":0.00021411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278547,"about_ca_topic_score_gemma":0.0003245946,"domain_scores_codex":[0.9995493,0.00007885126,0.00002287924,0.00009404718,0.0002023681,0.00005250237],"domain_scores_gemma":[0.9997829,0.0000425195,0.0000572092,0.00001744797,0.0000727902,0.00002713732],"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":[0.00007017494,0.00003042114,0.0001898851,0.0001161792,0.00001178958,0.00003725747,0.00001628674,0.0003014739,0.9898766,0.0004120129,0.0002176597,0.008720205],"study_design_scores_gemma":[0.000006630526,0.0002317317,0.0004710854,0.00001020119,0.00001619364,0.00008727343,0.00001758246,0.004110747,0.9910187,0.0001138167,0.003906493,0.000009642519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8206558,0.01412226,0.1517977,0.0009082566,0.0006699481,0.0002019755,0.0005495801,0.0008852356,0.01020925],"genre_scores_gemma":[0.9176779,0.00459478,0.0641885,0.000623196,0.000093073,0.0001338159,0.000377142,0.00006352871,0.01224796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001269443,"threshold_uncertainty_score":0.004246652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02636476007191932,"score_gpt":0.3036535639482511,"score_spread":0.2772888038763318,"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."}}