{"id":"W4251964143","doi":"10.1016/j.jms.2009.04.010","title":"Fourier transform emission spectroscopy and ab initio calculations on WO","year":2009,"lang":"en","type":"article","venue":"Journal of Molecular Spectroscopy","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Fédération Wallonie-Bruxelles; Ohio State University; Engineering and Physical Sciences Research Council; National Aeronautics and Space Administration; National Science Foundation","keywords":"Ab initio; Ab initio quantum chemistry methods; Ground state; Rotational spectroscopy; Atomic physics; Fourier transform; Spectroscopy; Materials science; Emission spectrum; Fourier transform spectroscopy; Spectral line; Microwave; Molecule; Molecular physics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001184331,0.0002236562,0.000278555,0.0002849299,0.00009740237,0.00007179768,0.0001209238,0.0001133656,0.00006940457],"category_scores_gemma":[0.00001764185,0.0001926551,0.0001713119,0.0002220457,0.00003108332,0.0001315915,0.000004163408,0.0004415277,0.000003579689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009784901,"about_ca_system_score_gemma":0.00003462214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001303298,"about_ca_topic_score_gemma":0.000001053185,"domain_scores_codex":[0.9988255,0.00002789787,0.0003896281,0.0001396158,0.0003474756,0.0002698652],"domain_scores_gemma":[0.9994558,0.00001653007,0.00008989755,0.0001978098,0.00004555115,0.0001944301],"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":[0.00006953685,0.00004167028,0.00002791533,0.00001100708,0.00005896428,0.0001519257,0.0000946438,0.001790758,0.9922742,0.001550084,0.001578268,0.00235103],"study_design_scores_gemma":[0.0008473269,0.0007778719,0.001463275,0.00008562094,0.00007593356,0.0002848154,0.00001898795,0.001316555,0.9832463,0.006441482,0.005215741,0.0002261301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9207176,0.001563375,0.06939227,0.0008022726,0.0003619542,0.0001499579,0.000005694094,0.00006015483,0.006946743],"genre_scores_gemma":[0.9777243,0.0006629372,0.02100518,0.0003569306,0.0001820452,0.000001385281,0.000003657859,0.00003402735,0.00002958775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05700667,"threshold_uncertainty_score":0.7856247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004272297145684012,"score_gpt":0.2306105019950934,"score_spread":0.2263382048494094,"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."}}