{"id":"W1989342468","doi":"10.1063/1.2825593","title":"Two-photon Lee-Goldburg nuclear magnetic resonance: Simultaneous homonuclear decoupling and signal acquisition","year":2008,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Homonuclear molecule; Nutation; Physics; Excitation; Photon; Nuclear magnetic resonance; Decoupling (probability); Atomic physics; Optics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003109287,0.0003186593,0.0002934413,0.0001742839,0.0002333222,0.0002049039,0.0003666441,0.0003338932,0.0007366461],"category_scores_gemma":[0.0002734392,0.0001789621,0.00008752086,0.0002832164,0.0005631818,0.0003443589,0.0003872987,0.0004695535,0.0001374713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001960351,"about_ca_system_score_gemma":0.0002539105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002019035,"about_ca_topic_score_gemma":0.0006535174,"domain_scores_codex":[0.9998668,0.00004080922,0.000003954794,0.00003743069,0.00002978045,0.0000211557],"domain_scores_gemma":[0.9998821,0.00003733739,0.00002453936,0.00002611479,0.000009897245,0.00002002386],"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":[0.0001327397,0.00001626495,0.0002109035,0.00005077464,0.000006940339,0.0001190174,0.00004478847,0.00016555,0.995648,0.0003321628,0.00004753049,0.003225425],"study_design_scores_gemma":[0.00002543892,0.0002113218,0.001513618,0.000003098235,0.000005389393,0.0004018088,0.00002825893,0.00173972,0.9947848,0.0002858856,0.0009875529,0.00001309374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9725686,0.0003247635,0.02531343,0.0001163475,0.00002288035,0.00003987517,0.00009773838,0.0001564133,0.001359927],"genre_scores_gemma":[0.9522823,0.0004009445,0.04602418,0.00008024741,0.00001343341,0.0000758172,0.0001195824,0.00002940645,0.0009741163],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007366461,"threshold_uncertainty_score":0.002464354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01035334844365668,"score_gpt":0.2478273116147117,"score_spread":0.2374739631710551,"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."}}