{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002081299,0.00005313465,0.0001586466,0.00005980537,0.00001816194,0.00002056529,0.0004175307,0.00002834497,0.0001434647],"category_scores_gemma":[0.00004866096,0.00004646238,0.00003261284,0.0001608569,0.000019623,0.0003779574,0.0001105055,0.00004378248,0.0002261157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006185805,"about_ca_system_score_gemma":0.00003252694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007413335,"about_ca_topic_score_gemma":1.32374e-7,"domain_scores_codex":[0.9992902,0.00001061478,0.0003269492,0.00008061979,0.0001855199,0.0001060612],"domain_scores_gemma":[0.9991993,0.00004426159,0.000297993,0.0002871574,0.0001480301,0.00002320904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002454754,0.0006052825,0.01410253,0.006934253,0.0001899405,0.000003292596,0.02774896,0.002056849,0.06623565,0.7209054,0.02490973,0.1362835],"study_design_scores_gemma":[0.001629235,0.0002224058,0.004305563,0.0007746191,0.0000122079,0.00001493141,0.000352167,0.8402187,0.1184586,0.01820454,0.01537523,0.0004318916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2277497,0.0001138787,0.656662,0.0001670595,0.0005267868,0.00019864,0.000001299265,0.00006602876,0.1145146],"genre_scores_gemma":[0.9754986,0.000002484522,0.02236504,0.0001615016,0.00001143632,7.875351e-7,7.294336e-7,0.000002555831,0.001956827],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8381618,"threshold_uncertainty_score":0.2906335,"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."}}