{"id":"W1883119784","doi":"10.1117/12.2194467","title":"Detection specificity studies of bacteriophage adhesin-coated long-period grating-based biosensor","year":2015,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Biosensor; Bacteriophage; Salmonella enterica; Bacteria; Escherichia coli; Salmonella; Microbiology; Bacterial adhesin; Cladding mode; Grating; Materials science; Wavelength; Cladding (metalworking); Chemistry; Biology; Nanotechnology; Fiber optic sensor; Optoelectronics; Biochemistry; Fiber; Composite material","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":[0.0003067702,0.0004739417,0.0002765792,0.0001568103,0.0001449245,0.0002274295,0.000447332,0.0005385995,0.0002604969],"category_scores_gemma":[0.0003332978,0.0001955182,0.0001894999,0.0001320212,0.0002119963,0.0002268828,0.0001757987,0.0002671497,0.0001625967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002763241,"about_ca_system_score_gemma":0.0001158186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008739787,"about_ca_topic_score_gemma":0.0009033629,"domain_scores_codex":[0.9996536,0.00006441457,0.00001849088,0.00009174542,0.0001237272,0.00004803672],"domain_scores_gemma":[0.9998561,0.00003839393,0.00003108957,0.00001053256,0.0000469229,0.0000168352],"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":[0.000009558266,0.000005510092,0.00007849653,0.00001827735,0.000001814241,0.00001158977,0.000007161651,0.00002412022,0.9995456,0.000009252604,0.000003855508,0.00028476],"study_design_scores_gemma":[0.000001747194,0.00006824931,0.0007538059,0.000001635061,0.000006919241,0.00006871262,0.000008657264,0.00102138,0.9978824,0.000005109519,0.0001783742,0.000002999718],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869249,0.00169221,0.01064648,0.00005829062,0.0000269132,0.00002287592,0.00003764818,0.00006655817,0.0005241823],"genre_scores_gemma":[0.9859656,0.0008335165,0.01224314,0.00006612606,0.00001059939,0.00001695636,0.0001008586,0.00001078108,0.0007524688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008739787,"threshold_uncertainty_score":0.002004921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02333175133709084,"score_gpt":0.2464411032456162,"score_spread":0.2231093519085253,"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."}}