{"id":"W4245812033","doi":"10.1002/cjce.23272","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Energy Technologies and Civil Engineering Innovations","field":"Energy","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":[0.00007230547,0.00007153847,0.0001497884,0.00009831601,0.00001467652,0.000008219859,0.0002813114,0.00006075134,0.00008047265],"category_scores_gemma":[0.0001543345,0.00005390953,0.00004955049,0.0002613846,0.00002942077,0.00006033012,0.00001121434,0.000224498,0.000003597708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006424734,"about_ca_system_score_gemma":0.00007114778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184231,"about_ca_topic_score_gemma":0.0001540212,"domain_scores_codex":[0.9994537,0.000001799793,0.0002321437,0.00004213514,0.00008996343,0.0001803102],"domain_scores_gemma":[0.9995347,0.0000371573,0.00008191827,0.0001544095,0.0001095578,0.00008222678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002909721,0.000002925313,0.0001715188,0.00001639481,0.00004545741,0.000004530392,0.00002572634,0.6875736,0.2105958,0.1007047,0.0001541591,0.0007022882],"study_design_scores_gemma":[0.0009380312,0.0000936665,0.0005166059,0.0003016964,0.00003835244,0.0001618717,0.00007255957,0.03111577,0.8540739,0.002702284,0.1096064,0.0003788378],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936728,0.0003979161,0.002189256,0.0004350565,0.0004673177,0.0000380944,0.000003870472,0.00003141107,0.002764252],"genre_scores_gemma":[0.998937,0.00000175873,0.0008484747,0.00002584923,0.0000427956,8.960528e-7,8.958869e-7,0.00001461441,0.000127772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6564578,"threshold_uncertainty_score":0.2198367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007323871397913014,"score_gpt":0.1771683570294898,"score_spread":0.1698444856315768,"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."}}