{"id":"W4247277890","doi":"10.1111/gwmr.12180","title":"Table of Contents","year":2017,"lang":"en","type":"article","venue":"Groundwater Monitoring & Remediation","topic":"Microbial bioremediation and biosurfactants","field":"Environmental Science","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":true,"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":[0.0007070259,0.0008447217,0.0008800878,0.003353112,0.002076706,0.00313567,0.00167165,0.0009001495,0.7904996],"category_scores_gemma":[0.003436985,0.0003571282,0.0004649513,0.00307399,0.0003385281,0.001392565,0.00149485,0.0007978879,0.6194683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002793898,"about_ca_system_score_gemma":0.00365498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01893525,"about_ca_topic_score_gemma":0.02905959,"domain_scores_codex":[0.9993743,0.00004874947,0.00004131908,0.0001254339,0.0003416903,0.00006847041],"domain_scores_gemma":[0.9979479,0.0002150311,0.00009659783,0.0001882178,0.001286702,0.0002655322],"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":[0.00004464852,0.00003985073,0.0005539079,0.0003330197,0.000006435856,0.00005430185,0.00003629287,0.0001329804,0.0005835706,0.001456241,0.922329,0.07442973],"study_design_scores_gemma":[0.000005258592,0.00002025967,0.0008994078,0.0001038541,0.000003399732,0.00006859389,0.00003687385,0.00004265258,0.000184039,0.0006082561,0.9980222,0.00000517133],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001718934,0.004513468,0.00405119,0.003621259,0.004510675,0.001042998,0.1373003,0.002901964,0.8403393],"genre_scores_gemma":[0.008221056,0.004984081,0.004539438,0.00196845,0.001111204,0.0004184132,0.1144871,0.001006171,0.863264],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2095004,"threshold_uncertainty_score":0.2988268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673332612031639,"score_gpt":0.251315756966424,"score_spread":0.2245824308461076,"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."}}