{"id":"W4324090738","doi":"10.1002/cjce.24448","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Underground infrastructure and sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Citation; Information retrieval; Table of contents; Computer 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":[0.0001590515,0.00007247279,0.0001485689,0.0001060791,0.00001972325,0.000016443,0.0002019534,0.00004965049,0.00004279493],"category_scores_gemma":[0.0001482954,0.00005524065,0.00005933841,0.000295197,0.00003750778,0.00007345276,0.000006680476,0.0002212931,0.000002243882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001084812,"about_ca_system_score_gemma":0.0001030475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002716946,"about_ca_topic_score_gemma":0.00005158033,"domain_scores_codex":[0.99941,0.000003883858,0.0002282807,0.00003197709,0.0001008307,0.0002249845],"domain_scores_gemma":[0.999545,0.0000562076,0.00002747937,0.0001030036,0.00008594435,0.0001823566],"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":[0.00001009115,0.000004358603,0.001569264,0.0003311028,0.0002489775,0.00008935745,0.001139047,0.6496387,0.3243433,0.002740077,0.01816958,0.001716209],"study_design_scores_gemma":[0.001463352,0.0001038613,0.007076988,0.0003129099,0.0001278514,0.0003801636,0.0004346604,0.2190955,0.7038179,0.01231009,0.05409618,0.0007804852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977554,0.0002573903,0.0005699534,0.0001975625,0.0003788797,0.00004119545,0.000005349689,0.00003362518,0.0007606444],"genre_scores_gemma":[0.9997634,0.00000250612,0.00009402022,0.00001290184,0.00008755301,6.756444e-7,9.715231e-7,0.00001444377,0.00002356853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4305431,"threshold_uncertainty_score":0.2252648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006544386654417146,"score_gpt":0.1746795922953065,"score_spread":0.1681352056408894,"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."}}