{"id":"W2567163077","doi":"10.1021/acssensors.6b00763","title":"Surface Plasmon Resonance Clinical Biosensors for Medical Diagnostics","year":2016,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Plasmonic and Surface Plasmon Research","field":"Engineering","cited_by":657,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Surface plasmon resonance; Nanotechnology; Biomolecule; Biosensor; Plasmon; Computer science; Medicine; Materials science; Optoelectronics; Nanoparticle","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":[0.003822177,0.001169841,0.0009887683,0.001434573,0.0005066954,0.002244811,0.001294503,0.002806103,0.01054359],"category_scores_gemma":[0.003844258,0.000465492,0.0006251956,0.0007907004,0.00129952,0.001673501,0.001230219,0.004539026,0.00859613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001256058,"about_ca_system_score_gemma":0.001373069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003748333,"about_ca_topic_score_gemma":0.0004610874,"domain_scores_codex":[0.9976253,0.0008961876,0.0001271439,0.000283365,0.0009179888,0.0001500855],"domain_scores_gemma":[0.9986542,0.0004863856,0.0001427773,0.0001429499,0.0004591724,0.0001144588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003238913,0.0003070199,0.0009978181,0.003345565,0.00009085823,0.0009343227,0.0004224154,0.001071361,0.1400536,0.1473195,0.1126186,0.5925151],"study_design_scores_gemma":[0.00005913563,0.0004556803,0.0006618807,0.0008586659,0.00005112274,0.002935709,0.0001574723,0.002266854,0.04669533,0.03672376,0.909064,0.00007037252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.005932884,0.603853,0.2134852,0.04970605,0.01065172,0.0005971668,0.0005216436,0.001947131,0.1133051],"genre_scores_gemma":[0.1617286,0.4491652,0.2550144,0.02788945,0.01053688,0.00105971,0.0008871214,0.0004246618,0.09329401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01054359,"threshold_uncertainty_score":0.03527182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03243732271552174,"score_gpt":0.3103639650435576,"score_spread":0.2779266423280359,"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."}}