{"id":"W3045550423","doi":"10.1016/j.talanta.2020.121452","title":"HER2 breast cancer biomarker detection using a sandwich optical fiber assay","year":2020,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; KU Leuven; Fonds De La Recherche Scientifique - FNRS","keywords":"Surface plasmon resonance; Biosensor; Refractive index; Optical fiber; Chemistry; Plasmon; Aptamer; Reproducibility; Refractometry; Breast cancer; Nanotechnology; Fiber optic sensor; Optoelectronics; Optics; Materials science; Cancer; Chromatography; 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":[0.001025919,0.0008810116,0.0004290659,0.0005179269,0.0003377559,0.0006055618,0.0009268391,0.001119295,0.0007534042],"category_scores_gemma":[0.0008035834,0.0004266168,0.0004224086,0.0002682344,0.0002339201,0.0006104021,0.0004533298,0.0006285048,0.0006948778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005684017,"about_ca_system_score_gemma":0.0003954445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007515008,"about_ca_topic_score_gemma":0.001684231,"domain_scores_codex":[0.9991871,0.000163304,0.00003836993,0.0002738084,0.0002351113,0.0001023233],"domain_scores_gemma":[0.9996138,0.0001184825,0.0000663017,0.00003828344,0.0001254167,0.0000378073],"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":[0.0001257867,0.00005664085,0.000774377,0.00005634787,0.00002702979,0.00004207217,0.00003292649,0.0001252164,0.9935427,0.0001392471,0.0001531811,0.004924602],"study_design_scores_gemma":[0.000007460128,0.0003119194,0.001002412,0.000005451335,0.0000335551,0.0002598865,0.00002556046,0.005139802,0.9921222,0.00005578814,0.00102256,0.00001325177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8268439,0.006655932,0.156077,0.0006593729,0.0005177073,0.0002293778,0.0004428877,0.00154714,0.007026554],"genre_scores_gemma":[0.8849226,0.001592594,0.1059792,0.0005441214,0.0001022746,0.0001592227,0.0002792437,0.00003359008,0.006387092],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001119295,"threshold_uncertainty_score":0.005425632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039760999743718,"score_gpt":0.2509382732700125,"score_spread":0.2305406632725753,"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."}}