{"id":"W4238624750","doi":"10.1111/gwmr.12232","title":"Table of Contents","year":2018,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"CO2 Sequestration and Geologic Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Table (database); Computer science; Citation; Table of contents; Information retrieval; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010251,0.00005420245,0.00005738964,0.00002246729,0.00008031402,0.00001669573,0.0000749796,0.00003576977,0.001245019],"category_scores_gemma":[0.00003716487,0.00004775513,0.00001887312,0.0001074925,0.00008230098,0.0002694071,0.00003859511,0.00004522711,0.0005299913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006183884,"about_ca_system_score_gemma":0.000003333045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007246335,"about_ca_topic_score_gemma":0.00008280493,"domain_scores_codex":[0.9994159,0.00002109714,0.000154693,0.0001196425,0.000170804,0.0001179078],"domain_scores_gemma":[0.9997302,0.00001611268,0.00007242608,0.0001158122,0.00003400653,0.00003139161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002473868,0.00008679344,0.68142,0.00000380081,0.000009587963,0.000001048425,0.001075016,0.00005558458,0.3085716,0.0001137015,0.001496885,0.007141183],"study_design_scores_gemma":[0.0002292626,0.0001956255,0.5764095,0.00001285908,0.000009215573,0.000003434451,0.0001480532,0.000217881,0.394186,0.000507751,0.02797389,0.0001065528],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857717,0.000003520096,0.002258767,0.0001702472,0.001482076,0.00008267019,7.053013e-7,0.00003615546,0.0101942],"genre_scores_gemma":[0.9962708,0.000004538759,0.0007432765,0.00002448322,0.0003695964,0.000008885821,0.000005415681,0.000003922197,0.002569071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1050105,"threshold_uncertainty_score":0.999668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575469205227277,"score_gpt":0.2647591225660475,"score_spread":0.2390044305137747,"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."}}