{"id":"W2766458912","doi":"10.1063/1.4986037","title":"An apparatus for quantitative high-harmonic generation spectroscopy in molecular vapours","year":2017,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Laser-Matter Interactions and Applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Engineering and Physical Sciences Research Council; Government of Canada; Ministerio de Economía y Competitividad; Natural Sciences and Engineering Research Council of Canada; European Commission; Research Councils UK; Horizon 2020 Framework Programme","keywords":"Vapours; Spectroscopy; Materials science; Harmonic; Bar (unit); Phase (matter); High harmonic generation; Analytical Chemistry (journal); Jet (fluid); Molecular physics; Optics; Laser; Mechanics; Physics; Chemistry; Acoustics; Chromatography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008005625,0.0006679963,0.0004803176,0.001259543,0.001043913,0.000441667,0.001476582,0.001048882,0.003582116],"category_scores_gemma":[0.0005360456,0.0004568545,0.0003489323,0.0008407612,0.0006807648,0.001027045,0.001032569,0.00144384,0.002377277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000570496,"about_ca_system_score_gemma":0.0006141824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002885756,"about_ca_topic_score_gemma":0.0004136788,"domain_scores_codex":[0.9991333,0.0001093478,0.00003185282,0.0001593094,0.0004971438,0.00006908422],"domain_scores_gemma":[0.9994857,0.0001188921,0.00007806548,0.0001759271,0.00008802614,0.00005329898],"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":[0.00003557211,0.00003351019,0.0003266241,0.0001808164,0.00001228955,0.00004653556,0.0000388186,0.0001915562,0.9799846,0.005565376,0.0008864696,0.01269784],"study_design_scores_gemma":[0.00003379888,0.0003954085,0.002159167,0.0000411289,0.0000420184,0.0005820415,0.00002178431,0.004266068,0.9389789,0.001913966,0.051511,0.00005479945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1223899,0.005926859,0.8504186,0.0006612343,0.0006721486,0.0008733167,0.002622717,0.006625656,0.009809568],"genre_scores_gemma":[0.3405919,0.004317602,0.6414144,0.0003119195,0.0003404192,0.001317936,0.001724601,0.0003858132,0.009595498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003582116,"threshold_uncertainty_score":0.01198339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03509443132327401,"score_gpt":0.3648502725904599,"score_spread":0.3297558412671859,"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."}}