{"id":"W4406408290","doi":"10.1021/acssensors.4c02374","title":"An ML-Enhanced Laser-Based Methane Slip Sensor Using Wavelength Modulation Spectroscopy","year":2025,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Methane; Materials science; Wavelength; Spectroscopy; Laser; Slip (aerodynamics); Optoelectronics; Optics; Chemistry; Physics","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":[0.0003317521,0.0003050492,0.0003148198,0.0002819384,0.0001407605,0.0002626246,0.000572369,0.0006352375,0.0003817491],"category_scores_gemma":[0.0004253873,0.0001679319,0.0002725516,0.0003432933,0.0002744199,0.0006322346,0.0004889137,0.0003522561,0.0001918192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003766941,"about_ca_system_score_gemma":0.0002844426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006392591,"about_ca_topic_score_gemma":0.001071547,"domain_scores_codex":[0.999734,0.00003295772,0.00001312201,0.00006552639,0.0001335458,0.00002081399],"domain_scores_gemma":[0.9998701,0.00004323675,0.00003642889,0.00001050902,0.00003231838,0.000007454957],"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":[0.0001139062,0.00006967192,0.001870268,0.0001140371,0.00001264471,0.00008691043,0.00004508609,0.009213052,0.935147,0.0005269871,0.0002973691,0.05250307],"study_design_scores_gemma":[0.00001402931,0.0003009499,0.002017745,0.000008951723,0.00001240957,0.00015882,0.00002184067,0.2550324,0.7403982,0.0002121455,0.001788135,0.00003431962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6225709,0.0007681398,0.3720251,0.0004280676,0.0001032725,0.00008495408,0.0002351088,0.00122403,0.002560453],"genre_scores_gemma":[0.885318,0.0002611195,0.1125351,0.0001188135,0.00002900918,0.0000415344,0.0001101697,0.00002396068,0.001562133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006392591,"threshold_uncertainty_score":0.002733171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562245266848358,"score_gpt":0.3055597149454167,"score_spread":0.2899372622769331,"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."}}