{"id":"W1981029937","doi":"10.1364/acpc.2012.af3d.3","title":"Environmental monitoring with portable, tunable diode laser based gas analyzers","year":2012,"lang":"en","type":"article","venue":"Asia Communications and Photonics Conference","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Boreal Laser (Canada)","funders":"","keywords":"Environmental science; Laser; Natural gas; Leak detection; Leak; Methane; Waste management; Materials science; Remote sensing; Environmental engineering; Engineering; Optics; Physics; Chemistry","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":[0.0004644833,0.0008483402,0.0005065905,0.001318725,0.0004047959,0.00046889,0.001134285,0.0007535991,0.004990972],"category_scores_gemma":[0.0007982605,0.0003491479,0.0003073853,0.001390313,0.0002383355,0.000797816,0.0005546218,0.0005770997,0.001493324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000384643,"about_ca_system_score_gemma":0.0002814157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00167434,"about_ca_topic_score_gemma":0.002944286,"domain_scores_codex":[0.9989038,0.0001006546,0.00002989272,0.000332826,0.0005732832,0.00005960102],"domain_scores_gemma":[0.9995248,0.0001214948,0.000102312,0.00006062955,0.0001617555,0.00002892175],"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":[0.0004919742,0.0002865566,0.01446865,0.0002726539,0.00005082099,0.0001875546,0.00006424927,0.001542663,0.8730031,0.0003787569,0.003874836,0.1053783],"study_design_scores_gemma":[0.0001163935,0.001488006,0.04243564,0.00006044738,0.0001547198,0.001607841,0.0001529742,0.02558171,0.908968,0.0007942886,0.01853721,0.0001026788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5777588,0.002785885,0.3671481,0.0004875805,0.0002451879,0.0006883597,0.0078765,0.01433984,0.02866966],"genre_scores_gemma":[0.7475266,0.001914547,0.2242806,0.0006256593,0.0002000149,0.0005386047,0.002230235,0.0004138875,0.02226971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004990972,"threshold_uncertainty_score":0.01669645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064910608484521,"score_gpt":0.251177099314885,"score_spread":0.2305279932300398,"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."}}