{"id":"W2138332575","doi":"10.1016/j.marchem.2014.09.006","title":"A kinetic approach to assess the strengths of ligands bound to soluble Mn(III)","year":2014,"lang":"en","type":"article","venue":"Marine Chemistry","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Manganese; Ligand (biochemistry); Dissociation (chemistry); Reaction rate constant; Pyrophosphate; Porphyrin; Kinetics; Inorganic chemistry; Medicinal chemistry; Physical chemistry; Photochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003124134,0.0003285771,0.0003678816,0.00001937767,0.0001760551,0.0001170988,0.0007953804,0.0001633648,0.001144653],"category_scores_gemma":[0.0003388694,0.000277834,0.0001159082,0.0003036675,0.0000941231,0.0000662958,0.0004425377,0.000371305,0.00001044817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007925025,"about_ca_system_score_gemma":0.00007550808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004903936,"about_ca_topic_score_gemma":0.000002515424,"domain_scores_codex":[0.9981298,0.000009756626,0.0004324059,0.0005478988,0.0004034382,0.0004766362],"domain_scores_gemma":[0.9983939,0.0002037105,0.0001787429,0.0008420108,0.0001187355,0.0002629344],"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":[0.00009383124,0.0002103315,0.002076434,0.001069366,0.00007753198,0.000001443158,0.0002511843,0.0001986374,0.9846678,0.00004452435,0.004192409,0.007116545],"study_design_scores_gemma":[0.000523862,0.00001396172,0.0001101091,0.00007438481,0.00004936867,0.00001796256,0.0003016784,0.0005497133,0.9569063,0.0001472205,0.04097671,0.0003287972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6371594,0.00002422667,0.0005445912,0.0002140824,0.00004034898,0.00006617641,0.00001528378,0.00005811077,0.3618778],"genre_scores_gemma":[0.9777951,0.000004040324,0.0008618013,0.0001586283,0.0005537202,0.00008782279,0.0001374838,0.0000418103,0.02035961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3415182,"threshold_uncertainty_score":0.9999674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166064356088429,"score_gpt":0.2550438250399712,"score_spread":0.2384373894311283,"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."}}