{"id":"W4296694045","doi":"10.1364/up.2022.w2a.6","title":"Highly Nonlinear Transient Absorption Spectroscopy","year":2022,"lang":"en","type":"article","venue":"The International Conference on Ultrafast Phenomena (UP) 2022","topic":"Spectroscopy and Quantum Chemical Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ultrafast laser spectroscopy; Spectroscopy; Transient (computer programming); Nonlinear system; Absorption (acoustics); Excitation; Materials science; Absorption spectroscopy; Computational physics; Optoelectronics; Optics; Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002107059,0.0002263699,0.000195816,0.00006497849,0.0005313109,0.00008532843,0.0007312312,0.00001513506,0.01632227],"category_scores_gemma":[0.000005788997,0.000181361,0.0001390706,0.0001705677,0.00009888839,0.00008403378,0.0001595358,0.0005342097,0.0001280187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001976492,"about_ca_system_score_gemma":0.00006927062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001486629,"about_ca_topic_score_gemma":0.000007341187,"domain_scores_codex":[0.9982865,0.00006360875,0.0002830618,0.0003762722,0.0006676945,0.0003228052],"domain_scores_gemma":[0.9993751,0.00008954181,0.0001415009,0.0002493271,0.00007832255,0.00006622329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006191263,0.0005884619,0.0003576301,0.000005483493,0.0003905573,0.000002611118,0.002564383,0.001244157,0.4923388,0.4930046,0.007148846,0.001735371],"study_design_scores_gemma":[0.007604804,0.002319278,0.002253078,0.0001063995,0.0002542336,0.0000151564,0.03634245,0.08912255,0.5188766,0.07013275,0.2704065,0.002566269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720634,0.00003439129,0.0006854501,0.008071975,0.002435231,0.0003529493,0.0009259377,0.0001523649,0.1152783],"genre_scores_gemma":[0.9952923,0.00001942477,0.00005466317,0.0004760863,0.0007465944,0.000219051,0.0003258146,0.00002146895,0.002844573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4228718,"threshold_uncertainty_score":0.9845769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566973579638537,"score_gpt":0.2755285473365375,"score_spread":0.2498588115401521,"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."}}