{"id":"W4233030678","doi":"10.1002/cjce.23270","title":"Table of Contents","year":2019,"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); Citation; Table of contents; Information retrieval; Computer science; 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":[0.0001039889,0.0000733082,0.0001368537,0.00001551706,0.00001146694,0.000009029265,0.000294367,0.0000480063,0.0008487928],"category_scores_gemma":[0.00008952542,0.00005577706,0.00006105313,0.00012848,0.00004801753,0.00006650078,0.00002250864,0.0002170381,0.00002039688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001040666,"about_ca_system_score_gemma":0.00002904139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004794835,"about_ca_topic_score_gemma":0.00001401545,"domain_scores_codex":[0.9994118,0.000002003618,0.0002016573,0.00005451269,0.0001436565,0.0001863482],"domain_scores_gemma":[0.99954,0.00003979475,0.00006425036,0.0001176559,0.00001376052,0.0002244896],"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":[0.000003133939,0.000002906699,0.001358729,0.00001574222,0.00001169253,0.000004088556,0.00004609262,0.03250043,0.9656398,0.0000454486,0.0002918947,0.00008001148],"study_design_scores_gemma":[0.0002022077,0.000009631143,0.0002437759,0.00005225986,0.000009836394,0.00006053216,0.000006493096,0.00428814,0.9909555,0.00004239677,0.004044013,0.00008517059],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974418,0.00007755348,0.00006131991,0.0001085283,0.0001054004,0.00002832875,0.000002115732,0.000003648397,0.00217133],"genre_scores_gemma":[0.9996207,5.543456e-7,0.0001913843,0.00002579036,0.00004031867,3.886759e-7,4.929889e-7,0.000008779625,0.000111634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02821229,"threshold_uncertainty_score":0.9293687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00385331471942147,"score_gpt":0.1465192077872352,"score_spread":0.1426658930678137,"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."}}