{"id":"W2233310226","doi":"10.1039/c5ob02459e","title":"Ionic liquid supported organotin reagents to prepare molecular imaging and therapy agents","year":2016,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Radiopharmaceutical Chemistry and Applications","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Université de Nantes; CHIST-ERA; Agence Nationale de la Recherche; Labex Iron","keywords":"Chemistry; Reagent; Ionic liquid; Combinatorial chemistry; Molecular imaging; Ionic bonding; Organic chemistry; Ion; In vivo; Catalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003653069,0.0004878799,0.0002744536,0.0003570454,0.000124811,0.0003613115,0.0004922938,0.0004502495,0.001076644],"category_scores_gemma":[0.0004079006,0.0001956993,0.0002077674,0.0003387266,0.0001665996,0.0003732186,0.000384955,0.0005230107,0.0006935162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223355,"about_ca_system_score_gemma":0.0001788456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001344269,"about_ca_topic_score_gemma":0.0003226108,"domain_scores_codex":[0.9997613,0.00006023247,0.00002824396,0.00003502416,0.00007575696,0.00003937215],"domain_scores_gemma":[0.9998255,0.00003984513,0.00006065184,0.00001730471,0.00003590714,0.00002078764],"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":[0.00005243291,0.00002460971,0.00005174763,0.00009497924,0.000006719149,0.00006405574,0.0000196842,0.00009729662,0.9951036,0.0002791742,0.00005972417,0.004145895],"study_design_scores_gemma":[0.000004680156,0.00009814613,0.00006521048,0.000003606328,0.000007564947,0.00007506124,0.000003695038,0.0002322325,0.9981968,0.00001438867,0.001295316,0.000003228773],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.924056,0.01095377,0.05215496,0.0002396315,0.0001404813,0.000159776,0.0003002865,0.0006362252,0.01135901],"genre_scores_gemma":[0.9679528,0.004051776,0.02281648,0.0001130066,0.00002324959,0.00007156101,0.0003330368,0.0001023813,0.004535742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001076644,"threshold_uncertainty_score":0.00360173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271984818401152,"score_gpt":0.2942560700880281,"score_spread":0.2815362219040166,"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."}}