{"id":"W4236479138","doi":"10.1002/cjce.23787","title":"Table of Contents","year":2020,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Citation; Table of contents; Computer science; Information retrieval; World Wide Web; Library science; 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":[0.0003879742,0.00004889103,0.0001712059,0.0001147599,0.00001787926,0.00003200541,0.0007507627,0.00003597189,0.0001307689],"category_scores_gemma":[0.002521816,0.00003084666,0.00006234722,0.0004213211,0.00005635007,0.00006147154,0.00003197957,0.0001767808,0.00001747833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878566,"about_ca_system_score_gemma":0.00007680333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009375544,"about_ca_topic_score_gemma":0.00005866016,"domain_scores_codex":[0.9992328,0.000007843445,0.0003327032,0.00005545333,0.0002366807,0.0001345429],"domain_scores_gemma":[0.9992467,0.0001342315,0.0001213924,0.0001131706,0.0001682882,0.0002162619],"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":[0.0001027395,0.00003931882,0.01694799,0.00009656991,0.0005047531,0.0003877382,0.004131127,0.01696825,0.6983002,0.08889376,0.09445882,0.07916866],"study_design_scores_gemma":[0.001569115,0.0002138044,0.001003761,0.0001172851,0.000091601,0.0001050405,0.0003898859,0.05366064,0.6217903,0.0119196,0.3087433,0.0003956788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754732,0.0007899343,0.005601337,0.0146591,0.0004284248,0.00007240588,0.000004823277,0.00001338689,0.002957427],"genre_scores_gemma":[0.9995285,4.559835e-7,0.0001912011,0.0001201922,0.00007759539,2.116337e-7,8.744075e-8,0.000004381649,0.00007740585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2142844,"threshold_uncertainty_score":0.3019031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06539583057619158,"score_gpt":0.2602920057140165,"score_spread":0.1948961751378249,"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."}}