{"id":"W4214637901","doi":"10.1002/chin.200342275","title":"Silylcopper Reagents","year":2003,"lang":"en","type":"article","venue":"ChemInform","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Chemistry; Reagent; Combinatorial chemistry; Organic chemistry","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":[0.0002247108,0.0008391336,0.0003130298,0.0007291798,0.0004227145,0.0002144726,0.0006689848,0.0004579502,0.0441452],"category_scores_gemma":[0.0002538358,0.0003034562,0.0002921133,0.0004125404,0.0002221525,0.0005116496,0.0005189718,0.001394549,0.01378829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003820687,"about_ca_system_score_gemma":0.0004453995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003669128,"about_ca_topic_score_gemma":0.0006386769,"domain_scores_codex":[0.9997143,0.00002200045,0.00001667079,0.00007622262,0.0001123437,0.00005831448],"domain_scores_gemma":[0.9998875,0.00002423214,0.00001995987,0.00002435846,0.000022099,0.00002192175],"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":[0.0003867007,0.0001534951,0.0002149672,0.001292756,0.00006471373,0.0008787509,0.0001125469,0.0005295406,0.9111838,0.0125952,0.02984083,0.04274669],"study_design_scores_gemma":[0.00006867922,0.0002476705,0.0004828618,0.00003496772,0.00002490872,0.0005695089,0.00001758361,0.0005680308,0.9087567,0.0009963863,0.08821152,0.00002111821],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3446888,0.01381679,0.2399106,0.003336702,0.004200348,0.002257928,0.01359057,0.01282557,0.3653728],"genre_scores_gemma":[0.7801517,0.0124494,0.04615612,0.002425113,0.0005435255,0.001463462,0.009694644,0.001079559,0.1460366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0441452,"threshold_uncertainty_score":0.1476804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005816322719071216,"score_gpt":0.1883106704127022,"score_spread":0.182494347693631,"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."}}