{"id":"W4247345271","doi":"10.1055/s-0039-1689990","title":"Linked PDF of Table of Contents","year":2019,"lang":"en","type":"article","venue":"Synlett","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Gilead Sciences (Canada)","funders":"","keywords":"Chemistry; Table (database); Organic chemistry; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004536013,0.001257469,0.001745083,0.005780846,0.001052562,0.005550315,0.00177438,0.001369289,0.9435668],"category_scores_gemma":[0.00832758,0.0005401897,0.0006973639,0.007228687,0.0004016722,0.002610784,0.00164417,0.001533536,0.8585033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210888,"about_ca_system_score_gemma":0.002190681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003003113,"about_ca_topic_score_gemma":0.00427289,"domain_scores_codex":[0.9994556,0.00003207566,0.00003853027,0.00007939725,0.000345405,0.00004899824],"domain_scores_gemma":[0.9936402,0.001168228,0.0003839384,0.0007144546,0.003297316,0.0007957984],"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":[0.00001662024,0.00001630347,0.00003895626,0.00020535,0.000003464995,0.00001553811,0.000004663812,0.0000479803,0.0001260205,0.0009605478,0.9798667,0.01869764],"study_design_scores_gemma":[0.00002010775,0.00001139326,0.0003995927,0.0001931304,0.000005823795,0.00004288654,0.00001383925,0.00008933031,0.0002138629,0.001724486,0.9972724,0.00001321184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005293362,0.00270626,0.004005521,0.003587541,0.03668752,0.0003353134,0.2639735,0.01099257,0.6771825],"genre_scores_gemma":[0.003372057,0.003450088,0.002447552,0.001852953,0.007254095,0.0002148238,0.1307286,0.004793206,0.8458867],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0564332,"threshold_uncertainty_score":0.08049506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202667153613752,"score_gpt":0.2205387946407862,"score_spread":0.2085121231046487,"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."}}