{"id":"W4235178514","doi":"10.1111/gwmr.12182","title":"Table of Contents","year":2017,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Table (database); Citation; Computer science; Information retrieval; Table of contents; World Wide Web; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001085027,0.00009128596,0.0001343471,0.00002493138,0.000130498,0.00004589053,0.0002594537,0.00006567395,0.00002492322],"category_scores_gemma":[0.0001141787,0.00008052394,0.00004640549,0.00002856478,0.00003180672,0.0002687119,0.0001141355,0.00009598441,0.00002999977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005256898,"about_ca_system_score_gemma":0.000003137715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003205136,"about_ca_topic_score_gemma":0.000002121641,"domain_scores_codex":[0.9992279,0.000005568615,0.0002127655,0.0001475879,0.000222539,0.0001836484],"domain_scores_gemma":[0.9993542,0.00002323474,0.0001475068,0.0003678887,0.00005637063,0.00005083549],"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":[0.00003940132,0.00008050026,0.07112177,0.0001236699,0.0000600761,0.000003266734,0.0002405791,0.0002618183,0.9150072,0.0005214908,0.0001300442,0.01241019],"study_design_scores_gemma":[0.00053884,0.00001819054,0.05663832,0.00007830281,0.00002388138,3.702308e-7,0.00003365617,0.0009584213,0.9363813,0.0002255336,0.004971059,0.0001321256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878491,0.00007796643,0.007549292,0.0002381925,0.00169241,0.0001359022,0.000002612843,0.00009045435,0.002364106],"genre_scores_gemma":[0.9974867,0.00006082512,0.0005114131,0.000003847858,0.0006111996,0.00001215035,0.000009722798,0.00001336013,0.001290788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0213741,"threshold_uncertainty_score":0.3283671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657328604925821,"score_gpt":0.2568672140924692,"score_spread":0.2302939280432109,"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."}}