{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004987286,0.001252633,0.001469704,0.003204531,0.00336419,0.002980731,0.002153117,0.001476426,0.03223455],"category_scores_gemma":[0.00434383,0.0005581484,0.0008263304,0.002199749,0.002035899,0.004788047,0.002445034,0.002132367,0.007378325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001743749,"about_ca_system_score_gemma":0.001065566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001948318,"about_ca_topic_score_gemma":0.002087276,"domain_scores_codex":[0.998467,0.0002256897,0.00006760218,0.0003239722,0.0006160848,0.0002995674],"domain_scores_gemma":[0.9985769,0.0002641924,0.0001106467,0.0004729129,0.0004132859,0.000162119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007685104,0.00002223579,0.0002767024,0.0001253875,0.00001361527,0.00009664795,0.0001220633,0.0008153804,0.00247052,0.9166045,0.04197869,0.03739744],"study_design_scores_gemma":[0.00002198157,0.00004256621,0.0003453914,0.00007806288,0.00002457339,0.0002740616,0.0001595709,0.006339514,0.009378375,0.8903125,0.09297261,0.00005086221],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07626112,0.002582392,0.1192939,0.005230452,0.006199151,0.0001400587,0.001250271,0.002894105,0.7861486],"genre_scores_gemma":[0.6246346,0.001970907,0.04839299,0.002416815,0.001810085,0.0003644394,0.002062529,0.001972819,0.3163747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03223455,"threshold_uncertainty_score":0.1078353,"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."}}