{"id":"W1967951708","doi":"10.1021/ac200465m","title":"Designed Biointerface Using Near-Infrared Quantum Dots for Ultrasensitive Surface Plasmon Resonance Imaging Biosensors","year":2011,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Chemistry; Surface plasmon resonance; Biointerface; Biosensor; Quantum dot; Infrared; Nanotechnology; Surface plasmon; Plasmon; Optoelectronics; Optics; Nanoparticle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002138505,0.0003321058,0.0003292603,0.00002187525,0.0001801443,0.00004446382,0.0002058941,0.0002391098,0.00001072213],"category_scores_gemma":[0.0002802423,0.0003148363,0.0002753125,0.0001939731,0.0003863232,0.00001034958,0.00008517187,0.000144551,0.00000312803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000483988,"about_ca_system_score_gemma":0.00008182068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002853595,"about_ca_topic_score_gemma":0.000001939782,"domain_scores_codex":[0.9982046,0.0000386259,0.0003686935,0.0007285662,0.0001592408,0.0005002877],"domain_scores_gemma":[0.9988813,0.00004592825,0.0001555908,0.0004933841,0.0002548262,0.000168967],"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":[0.0003499524,0.00008251322,0.0009088026,0.00002827423,0.0000738301,0.00002018486,0.00002639336,0.00001898271,0.9974777,0.00001292923,0.0007004824,0.000299933],"study_design_scores_gemma":[0.0003792599,0.00007473731,0.0001069437,0.00005212214,0.0001196389,0.00004859812,0.0001517913,0.0270491,0.9703711,0.0001359553,0.001082127,0.0004285947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735039,0.0003233291,0.02447248,0.00006260019,0.00003572556,0.0001826249,0.00009379592,0.00008914054,0.001236445],"genre_scores_gemma":[0.9659464,0.00004274313,0.03294902,0.0001431964,0.00009541188,0.000003086533,0.00009991298,0.00004561809,0.0006745516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02710659,"threshold_uncertainty_score":0.9999304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02679177114664807,"score_gpt":0.2834325791526633,"score_spread":0.2566408080060152,"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."}}