{"id":"W2108906748","doi":"10.1006/jmsp.2000.8111","title":"Laser-Induced Fluorescence and Fourier Transform Spectroscopy of the [21.9]2Δ5/2–X2Π3/2 (21 910 cm−1) and the [21.9]2Δ5/2–[.16]2Δ5/2 (21 750 cm−1) Transitions of NiCl","year":2000,"lang":"en","type":"article","venue":"Journal of Molecular Spectroscopy","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fluorescence; Spectroscopy; Fourier transform spectroscopy; Laser-induced fluorescence; Atomic physics; Fourier transform; Materials science; Fourier transform infrared spectroscopy; Ground state; Physics; Fluorescence spectroscopy; Laser; Resolution (logic); Analytical Chemistry (journal); Nuclear magnetic resonance; High resolution; Molecular electronic transition; Optics; Excited state; 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":[0.0002312342,0.0001607477,0.0001393703,0.0003893011,0.000475094,0.000200742,0.0007566646,0.0003806712,0.002622568],"category_scores_gemma":[0.0004083519,0.0001779137,0.0001209306,0.0004299142,0.0006545921,0.0004044992,0.000243295,0.0007393259,0.0002446581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008870837,"about_ca_system_score_gemma":0.0002331418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247859,"about_ca_topic_score_gemma":0.002210015,"domain_scores_codex":[0.9998677,0.00002120814,0.000004150299,0.00002838791,0.00004992498,0.0000285816],"domain_scores_gemma":[0.9997503,0.00008782811,0.00005357583,0.00003049862,0.00005089004,0.00002689185],"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":[0.0003622086,0.00004378799,0.0003907473,0.00006819952,0.000007163342,0.00007566448,0.0001807393,0.0003733203,0.9930159,0.001251158,0.0003069372,0.003924089],"study_design_scores_gemma":[0.00001775756,0.0000651747,0.003115159,0.000009471062,0.000006260969,0.0001394365,0.00005894987,0.003600998,0.9913657,0.0001548295,0.001454648,0.00001174386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864878,0.0007598623,0.00470581,0.0002277914,0.00001519346,0.00001380836,0.0002899797,0.0001346105,0.007365116],"genre_scores_gemma":[0.9935248,0.000277518,0.002932708,0.00006269303,0.00000596063,0.00001915722,0.0005739681,0.00002875249,0.002574506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002622568,"threshold_uncertainty_score":0.008773386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005225204023137234,"score_gpt":0.2374095444971085,"score_spread":0.2321843404739713,"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."}}