{"id":"W4323306387","doi":"10.1117/12.2657809","title":"Silicon photonic biosensing: towards portable diagnostics at the point of need (Conference Presentation)","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Photonics; Computer science; Presentation (obstetrics); Silicon photonics; Key (lock); Microfluidics; Biosensor; System integration; Nanotechnology; Point (geometry); Materials science; Optoelectronics","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":[0.0008416822,0.0005845153,0.0002157154,0.0004736789,0.0003462173,0.002003198,0.0005545246,0.001437566,0.01338416],"category_scores_gemma":[0.0004162671,0.0002721829,0.0002476469,0.0003436504,0.0005459332,0.001281245,0.0006844003,0.001465262,0.004273734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005802443,"about_ca_system_score_gemma":0.0006168337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002780893,"about_ca_topic_score_gemma":0.0006349195,"domain_scores_codex":[0.9997287,0.0000272649,0.000009490598,0.000051314,0.000145352,0.0000377809],"domain_scores_gemma":[0.9998195,0.00002614677,0.00001300913,0.000004815839,0.00009065684,0.00004591563],"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":[0.0003925508,0.0001702539,0.0003869107,0.001650448,0.00006283782,0.0004689791,0.0002332996,0.001002628,0.2859889,0.02863828,0.2863953,0.3946097],"study_design_scores_gemma":[0.00003092213,0.0004250782,0.0004806502,0.000192709,0.00003315911,0.0008407275,0.0001449622,0.001833888,0.1123549,0.00551877,0.8781009,0.00004332362],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04502904,0.4723091,0.2073504,0.03899718,0.07139436,0.000627184,0.0008854831,0.003564489,0.1598429],"genre_scores_gemma":[0.1456705,0.2450051,0.08826675,0.01552263,0.03184405,0.0002810732,0.0009680169,0.000514729,0.471927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01338416,"threshold_uncertainty_score":0.04477447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344176644292412,"score_gpt":0.2981208292166125,"score_spread":0.2746790627736884,"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."}}