{"id":"W4244526359","doi":"10.1515/iupac.79.2052","title":"Stereoselective Synthesis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Hazard; Multidisciplinary approach; Toxicology; Chemistry; Philosophy; Biology; Political science; Linguistics; Organic chemistry; Law","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":[0.001121486,0.002293834,0.001866057,0.002552796,0.0009820299,0.002474144,0.002733485,0.001576925,0.1375323],"category_scores_gemma":[0.00427413,0.0006426831,0.002034801,0.004178748,0.0004180026,0.001821518,0.001349238,0.00191275,0.1345841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135108,"about_ca_system_score_gemma":0.002811728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007446153,"about_ca_topic_score_gemma":0.0201293,"domain_scores_codex":[0.998703,0.0001781522,0.0001337705,0.0005536351,0.0002961277,0.0001352854],"domain_scores_gemma":[0.9987208,0.0004005532,0.0001499955,0.0003789012,0.0002581231,0.00009159699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004787031,0.00008388542,0.001018224,0.006290106,0.0001764239,0.00005800232,0.00002664039,0.00135704,0.002657984,0.002283388,0.9604425,0.02512701],"study_design_scores_gemma":[0.000298508,0.00006257211,0.001352362,0.0003014814,0.0001158169,0.00008913498,0.00002908436,0.0005897222,0.002719174,0.002912068,0.9914932,0.00003691484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004904277,0.0009589504,0.000526846,0.00007627845,0.00006003059,0.00005672492,0.991729,0.0009157854,0.005186017],"genre_scores_gemma":[0.00103947,0.0006242929,0.001465013,0.0001263012,0.00001056605,0.0001560475,0.99421,0.0001555333,0.002212776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1375323,"threshold_uncertainty_score":0.4600914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160813258838633,"score_gpt":0.3976209284315423,"score_spread":0.381539602547679,"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."}}