{"id":"W2112095863","doi":"10.1021/jp014005+","title":"Binding Energies of the Silver Ion to Small Oxygen-Containing Ligands:  Determination by Means of Density Functional Theory and Threshold Collision-Induced Dissociation","year":2002,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry A","topic":"Free Radicals and Antioxidants","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Dissociation (chemistry); Density functional theory; Ion; Methanol; Bond-dissociation energy; Binding energy; Ether; Basis set; Diethyl ether; Collision-induced dissociation; Hybrid functional; Physical chemistry; Analytical Chemistry (journal); Computational chemistry; Mass spectrometry; Atomic physics; Chromatography; Organic 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":[0.0003418863,0.000491093,0.0005561284,0.0006873682,0.0005815052,0.0002641373,0.000977139,0.0005240154,0.001239657],"category_scores_gemma":[0.001009376,0.0002928425,0.0003492391,0.0004112484,0.0005947506,0.0002513971,0.0004298749,0.000613845,0.0002611953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008524294,"about_ca_system_score_gemma":0.0004327725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003695663,"about_ca_topic_score_gemma":0.003855739,"domain_scores_codex":[0.9997478,0.00002395171,0.000007778164,0.00003350332,0.0001463738,0.00004063021],"domain_scores_gemma":[0.9997689,0.0001220085,0.00002153018,0.00001440652,0.00005097283,0.00002209846],"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":[0.000680077,0.000121907,0.005633431,0.0004839836,0.00007562593,0.0003156902,0.0005669734,0.0709383,0.8980443,0.007176753,0.0006207181,0.01534219],"study_design_scores_gemma":[0.00008760158,0.0004294836,0.01027911,0.00003365176,0.00004526815,0.0002060477,0.00035848,0.3108422,0.6711768,0.004518881,0.001903247,0.0001191695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843161,0.0003686852,0.01357662,0.0001001055,0.00001524375,0.00001581207,0.0001321517,0.00009717207,0.001378155],"genre_scores_gemma":[0.9943936,0.0002324607,0.004498981,0.00002558884,0.000001822598,0.00005168872,0.000214357,0.00002444071,0.0005571887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003695663,"threshold_uncertainty_score":0.007348299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519516876647285,"score_gpt":0.2176568283179244,"score_spread":0.2024616595514515,"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."}}