{"id":"W4232899249","doi":"10.1002/cjce.22669","title":"Table of Contents","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Citation; Information retrieval; Table of contents; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001199822,0.00007331689,0.000130873,0.00001104344,0.00006786723,0.00003156923,0.0006000655,0.0000481005,0.0002647157],"category_scores_gemma":[0.0003482302,0.00005589667,0.00006168937,0.0000374564,0.0001369934,0.0001072743,0.00004217042,0.0002129286,0.000004934418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000855326,"about_ca_system_score_gemma":0.00002836309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236239,"about_ca_topic_score_gemma":0.00005318889,"domain_scores_codex":[0.9994401,0.000001533779,0.0001878056,0.00005209444,0.0001332944,0.0001852014],"domain_scores_gemma":[0.9993488,0.00002636902,0.0001244096,0.0002213174,0.00001545402,0.0002636872],"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":[0.000003426854,0.000003497204,0.001355246,0.00001246429,0.00001539914,0.00001349027,0.00004794083,0.008754186,0.9889874,0.00005793683,0.0004905626,0.000258466],"study_design_scores_gemma":[0.0001892376,0.000005992534,0.0008678884,0.00005430878,0.00001319317,0.00006052458,0.000003344926,0.002560215,0.9928527,0.00007916335,0.003230924,0.00008243841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965299,0.000067109,0.0001125806,0.0003024887,0.0001182283,0.00002108159,0.00000310974,0.000003252622,0.002842226],"genre_scores_gemma":[0.9995989,8.577047e-7,0.0002346518,0.00001555188,0.00007186924,4.763515e-7,2.837886e-7,0.000008042021,0.00006942558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006193971,"threshold_uncertainty_score":0.2898452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00761529201114496,"score_gpt":0.1715269097412805,"score_spread":0.1639116177301355,"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."}}