{"id":"W4390585672","doi":"10.1002/cjce.24982","title":"Table of Contents","year":2024,"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":false,"ca_institutions":"","funders":"","keywords":"Table (database); Table of contents; Citation; Information retrieval; Computer science; Library science; World Wide Web; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007101822,0.00004959801,0.0001407751,0.0003072856,0.00001662229,0.000079186,0.0005972024,0.00004001852,0.0001459048],"category_scores_gemma":[0.001107957,0.00002952227,0.00007249494,0.000504633,0.00006062098,0.00008117075,0.00002477516,0.0001978372,0.00002552363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003655175,"about_ca_system_score_gemma":0.0001127201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475284,"about_ca_topic_score_gemma":0.0001267868,"domain_scores_codex":[0.9992411,0.000006802344,0.0003171984,0.00005895737,0.000235272,0.0001406562],"domain_scores_gemma":[0.9993372,0.0002269269,0.00005360961,0.0001363295,0.0001288044,0.0001171142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002970551,0.00002932827,0.003230375,0.000167608,0.0006410357,0.0008135117,0.002016321,0.007100197,0.3628302,0.3248454,0.1021186,0.1961777],"study_design_scores_gemma":[0.0005118463,0.00009441865,0.0004028532,0.000436454,0.000101241,0.0003183272,0.0001849046,0.06275723,0.3209293,0.04573713,0.5682144,0.0003118212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973515,0.005949451,0.006662513,0.005491774,0.002071279,0.00008392341,0.000007483587,0.00003025066,0.006188327],"genre_scores_gemma":[0.999208,0.000001076475,0.0001235784,0.00001756038,0.00008047502,3.357742e-7,9.776283e-8,0.00000546884,0.0005633536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4660958,"threshold_uncertainty_score":0.1597555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04505956314876451,"score_gpt":0.2741197202665699,"score_spread":0.2290601571178054,"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."}}