{"id":"W7084126220","doi":"10.1364/iprsn.2025.im2b.2","title":"InP-Based Laser Diode for Plasmonic Biosensing","year":2025,"lang":"en","type":"article","venue":"","topic":"Agriculture, Water, and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Plasmon; Laser; Biosensor; Diode; Laser diode; Semiconductor laser theory","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":[0.0002304869,0.0004586484,0.0003913383,0.0002282963,0.0005581003,0.0005939663,0.001165985,0.00130573,0.002240956],"category_scores_gemma":[0.0004380539,0.0002813699,0.0002655281,0.0002161014,0.0005550007,0.0008289373,0.0004226879,0.0007040369,0.0007295711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007172857,"about_ca_system_score_gemma":0.0005134059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003235074,"about_ca_topic_score_gemma":0.0004490551,"domain_scores_codex":[0.9996804,0.00005434182,0.00001094531,0.00006176503,0.0001586967,0.00003383595],"domain_scores_gemma":[0.9999077,0.00004179089,0.000011516,0.000010302,0.00002203567,0.000006565323],"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":[0.00006423178,0.00008253046,0.0003922516,0.0004744298,0.00001826148,0.000226153,0.00006176154,0.004847003,0.9177836,0.05381003,0.001596855,0.02064295],"study_design_scores_gemma":[0.00002042265,0.0002271593,0.0003181032,0.00006071008,0.00002623048,0.0006447138,0.00004528349,0.05175692,0.898842,0.01528527,0.03273781,0.00003530323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1472378,0.008363573,0.7936284,0.002629008,0.000766591,0.000237216,0.0003277054,0.0009138526,0.04589578],"genre_scores_gemma":[0.7323855,0.005703455,0.2482021,0.0007733425,0.0001165581,0.0003727303,0.0001476641,0.00009871161,0.0122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002240956,"threshold_uncertainty_score":0.007496715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008732607368244237,"score_gpt":0.2444562553254546,"score_spread":0.2357236479572103,"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."}}