{"id":"W2084829091","doi":"10.1038/nchem.1315","title":"Counting on copper","year":2012,"lang":"en","type":"article","venue":"Nature Chemistry","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Chemistry; Copper; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009975165,0.0001201242,0.00009874616,0.000005954262,0.00004664137,0.00001275407,0.0001268346,0.0004131217,0.000195841],"category_scores_gemma":[0.0001667943,0.0001025729,0.0001161187,0.00005702347,0.00002915953,0.000001919428,0.00004733224,0.0002525272,0.00002966439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001467432,"about_ca_system_score_gemma":0.00001107022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.203794e-7,"about_ca_topic_score_gemma":1.778058e-7,"domain_scores_codex":[0.9993241,0.000006366044,0.0000949927,0.0001970391,0.0001330579,0.0002444771],"domain_scores_gemma":[0.9995648,0.00001301433,0.00004207781,0.0002454197,0.0000331946,0.0001014557],"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":[0.00001283205,0.00005654382,0.004240756,0.00001421617,0.00003191996,3.638652e-7,0.000003413869,0.000001078633,0.9803151,0.00001338254,0.0146901,0.0006202508],"study_design_scores_gemma":[0.00008374808,0.000003983801,0.0003844801,0.000008591678,0.00001413466,0.000004179559,0.00001286439,0.000002453785,0.8175403,0.000004680377,0.1818254,0.0001150846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9551522,0.00180424,0.000008041191,0.0001675287,0.00006485463,0.00002083987,0.000008909058,0.00001338215,0.04276001],"genre_scores_gemma":[0.9956542,0.00003929368,0.00009428515,0.00072224,0.001197506,0.000004907599,0.00009550877,0.00001545931,0.002176572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1671353,"threshold_uncertainty_score":0.4182803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003763073953831209,"score_gpt":0.2358011191124676,"score_spread":0.2320380451586364,"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."}}