{"id":"W4236062305","doi":"10.1111/gwmr.12273","title":"Table of Contents","year":2019,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Table (database); Computer science; Citation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006118206,0.0008254735,0.0009751558,0.00252764,0.001633238,0.003840549,0.001574154,0.001082432,0.8732836],"category_scores_gemma":[0.005631282,0.0003567954,0.0005047907,0.002147716,0.0003062892,0.002227484,0.001683125,0.001240095,0.7877801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530024,"about_ca_system_score_gemma":0.002041762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003153829,"about_ca_topic_score_gemma":0.004090818,"domain_scores_codex":[0.9993814,0.00005644129,0.00004017775,0.0001252616,0.000341229,0.00005552811],"domain_scores_gemma":[0.9969947,0.0003834023,0.0001182755,0.0002558176,0.001855666,0.0003921323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002250153,0.00002496491,0.0001573045,0.0001914362,0.000002587579,0.00002776585,0.00001772828,0.0000711336,0.0002139741,0.001307413,0.9481673,0.04979579],"study_design_scores_gemma":[0.000004142494,0.0000162849,0.0002827992,0.0001042509,0.000002412783,0.00005948168,0.00002734737,0.00003411048,0.0001065282,0.0007333991,0.9986249,0.00000427977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006580872,0.003778423,0.002897173,0.004183538,0.01013822,0.0005964486,0.04073482,0.00339767,0.9336156],"genre_scores_gemma":[0.00369012,0.003713182,0.002303765,0.002504115,0.00243486,0.0003135417,0.03243424,0.001061018,0.9515452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1267164,"threshold_uncertainty_score":0.1807456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922036315456237,"score_gpt":0.2359905601957868,"score_spread":0.2167701970412244,"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."}}