{"id":"W4313532582","doi":"10.1002/cjce.24444","title":"Table of Contents","year":2023,"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; Information retrieval; Table of contents; Computer science; Library science; 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":[0.0008856092,0.00004732015,0.0001559825,0.0003752342,0.00002482481,0.00003270932,0.0007173148,0.00003986783,0.00008638772],"category_scores_gemma":[0.002157484,0.00002981918,0.00006247182,0.0008750396,0.00006061627,0.00005831325,0.00003677828,0.0001504684,0.00005031835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002531259,"about_ca_system_score_gemma":0.00007435991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001554629,"about_ca_topic_score_gemma":0.0001552469,"domain_scores_codex":[0.9991716,0.000008010105,0.0003255243,0.00005262691,0.0002656466,0.0001766586],"domain_scores_gemma":[0.9992005,0.0002283157,0.0001074,0.0001626605,0.0001728441,0.000128263],"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":[0.00005331925,0.00003865308,0.0235537,0.00008423896,0.0005289215,0.0006250234,0.002396517,0.02778007,0.5098336,0.1168215,0.2022589,0.1160256],"study_design_scores_gemma":[0.001821991,0.0001560942,0.006441512,0.000251922,0.00009910659,0.0001934347,0.0006337262,0.06734346,0.5139496,0.060423,0.3481421,0.0005441191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946621,0.000213337,0.0006018977,0.002248855,0.0005135244,0.00003971382,0.000003011667,0.00001590025,0.001701655],"genre_scores_gemma":[0.9992239,9.116941e-7,0.00006720325,0.0000191232,0.00005332881,4.246847e-7,1.983698e-7,0.000004985195,0.0006299029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1458831,"threshold_uncertainty_score":0.2582866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06171307810108364,"score_gpt":0.2781563853220099,"score_spread":0.2164433072209262,"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."}}