{"id":"W2118860392","doi":"10.1039/c5cp00580a","title":"Guanine tetrads: an IRMPD spectroscopy, energy resolved SORI-CID, and computational study of M(9-ethylguanine)<sub>4</sub><sup>+</sup>(M = Li, Na, K, Rb, Cs) in the gas phase","year":2015,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Molecular Sensors and Ion Detection","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Tetrad; Infrared multiphoton dissociation; Guanine; Potential energy; Spectroscopy; Gas phase; Translational energy; Computational chemistry; Analytical Chemistry (journal); Atomic physics; Crystallography; Molecular physics; Physical chemistry; Physics; Organic chemistry; Dissociation (chemistry)","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":[0.0001160247,0.0002932917,0.0003470011,0.0001557698,0.0002674792,0.0003742328,0.0005916012,0.000582805,0.001390615],"category_scores_gemma":[0.0003199775,0.0001838384,0.0003144922,0.0002788799,0.0002769716,0.0004555304,0.0002993502,0.0004989314,0.0001350841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007522857,"about_ca_system_score_gemma":0.0003165253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003567218,"about_ca_topic_score_gemma":0.003428344,"domain_scores_codex":[0.9999537,0.000005540384,0.000001511152,0.00001374444,0.00001445022,0.00001101111],"domain_scores_gemma":[0.9999222,0.00003490315,0.00001318758,0.000008036894,0.00001221234,0.000009457463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001189147,0.0003001298,0.01717091,0.0007722568,0.0002241524,0.001473696,0.0002403062,0.7724297,0.1755773,0.01109693,0.002429786,0.01709568],"study_design_scores_gemma":[0.00008948319,0.000338368,0.004021772,0.000008698915,0.0000364847,0.0001341101,0.0001773911,0.9532926,0.03826752,0.001346955,0.002268598,0.00001803776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955757,0.0001851849,0.002301459,0.0000894386,0.000009823053,0.000009912341,0.0003017154,0.00006058099,0.001466168],"genre_scores_gemma":[0.994058,0.000162223,0.004614396,0.00003945666,0.000003312003,0.00002046672,0.0005100764,0.00002352861,0.0005685223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003567218,"threshold_uncertainty_score":0.007092893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01944490680570449,"score_gpt":0.2652001190773485,"score_spread":0.245755212271644,"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."}}