{"id":"W7098938180","doi":"","title":"Table of Contents","year":2015,"lang":"en","type":"article","venue":"","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Table of contents; Group (periodic table); Index (typography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007556473,0.00002485677,0.00005184381,0.000003896846,0.000007474701,0.000005836073,0.00007809156,0.00001231905,0.0003324301],"category_scores_gemma":[0.00003060231,0.00001811436,0.000008319183,0.00003196021,0.00003414398,0.00006014189,0.00002735235,0.00001036719,0.00006582755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005441905,"about_ca_system_score_gemma":0.00001760977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003758188,"about_ca_topic_score_gemma":0.000001286549,"domain_scores_codex":[0.999751,0.000006109581,0.00005482896,0.00005552451,0.00007460295,0.00005791815],"domain_scores_gemma":[0.9997784,0.000007055924,0.00002278385,0.00007533372,0.00007716472,0.00003923844],"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":[0.00001431025,0.00002409033,0.0005581415,0.000002547186,7.891726e-7,3.535513e-7,0.00002079692,6.98859e-7,0.9950194,0.0002286624,0.004109753,0.00002042248],"study_design_scores_gemma":[0.0001498418,0.00002058275,0.0001763302,0.000002744934,0.000001061537,0.00000139045,0.00009025255,0.00001103194,0.9953158,0.0004858805,0.003719279,0.00002576126],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8763024,0.00001862116,0.0002190874,0.00003469806,0.00009151075,0.00001707751,0.000003368848,0.00001411316,0.1232992],"genre_scores_gemma":[0.9966146,2.597889e-7,0.0004574151,0.00003505381,0.00002041739,0.00000119282,9.150885e-7,0.000001029318,0.002869114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1204301,"threshold_uncertainty_score":0.3639876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06892248569222915,"score_gpt":0.2784457566438487,"score_spread":0.2095232709516195,"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."}}