{"id":"W2048279793","doi":"10.1117/12.570059","title":"Multi-species gas detection with long-wavelength VCSEL","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laser; Materials science; Trace gas; Absorption (acoustics); Wavelength; Absorption spectroscopy; Optics; Spectroscopy; Bar (unit); Vertical-cavity surface-emitting laser; Analytical Chemistry (journal); Spectral line; Optoelectronics; Physics; Chemistry","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":[0.0004623567,0.0006854257,0.0004579367,0.0006219661,0.000306727,0.0004588565,0.0008815965,0.0008314193,0.0010673],"category_scores_gemma":[0.0004142563,0.0002514597,0.0002361119,0.0005829581,0.0003188401,0.0005015984,0.0007470403,0.0005328905,0.0003441466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005473872,"about_ca_system_score_gemma":0.0002450352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006154566,"about_ca_topic_score_gemma":0.00111964,"domain_scores_codex":[0.9994173,0.00006831323,0.000022646,0.000242255,0.00018208,0.00006743331],"domain_scores_gemma":[0.999522,0.0001685996,0.00008356049,0.00003921783,0.0001519974,0.00003466921],"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":[0.00002713755,0.00000757498,0.0003648556,0.0000634044,0.000007557691,0.00007300613,0.0000276936,0.0001449476,0.9952384,0.000169836,0.00009772682,0.003777844],"study_design_scores_gemma":[0.000002128987,0.00004960807,0.001175347,0.000005902118,0.000009784976,0.0002292343,0.00001912905,0.004011871,0.9930775,0.0000865719,0.001318215,0.00001463068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8742317,0.004805156,0.1133227,0.0002983083,0.0001805095,0.00005695649,0.0007188507,0.002084252,0.004301574],"genre_scores_gemma":[0.9376502,0.00100816,0.0581503,0.0001077088,0.00003267043,0.00007490683,0.0002398967,0.0001119245,0.002624325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010673,"threshold_uncertainty_score":0.003971636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124523132235601,"score_gpt":0.2265408826333949,"score_spread":0.2152956513110389,"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."}}