{"id":"W2810379731","doi":"10.4095/308299","title":"Assessing groundwater vulnerability to unconventional resources development in southern New Brunswick","year":2018,"lang":"en","type":"report","venue":"","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Vulnerability (computing); Groundwater; Water resource management; Groundwater resources; Environmental science; Hydrology (agriculture); Geography; Geology; Computer science; Aquifer; Computer security; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0003596931,0.0002970409,0.0001396754,0.001432304,0.0007037182,0.000892534,0.0006651395,0.0002283997,0.001325792],"category_scores_gemma":[0.0007778013,0.0001817781,0.0001539556,0.00366965,0.0004760993,0.0004854884,0.001022834,0.0002570969,0.0001420664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0117236,"about_ca_system_score_gemma":0.009589324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.930683,"about_ca_topic_score_gemma":0.9857839,"domain_scores_codex":[0.999797,0.00002504032,0.00001902001,0.00003054363,0.00005326603,0.00007506386],"domain_scores_gemma":[0.9995822,0.00005247107,0.00008907422,0.00002738805,0.0001940879,0.0000546486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009642385,0.00004423257,0.9477373,0.0001173312,0.00006793484,0.001178678,0.002325507,0.00254337,0.005108998,0.0009520328,0.001773047,0.0380549],"study_design_scores_gemma":[0.000008570027,0.00002972147,0.978177,0.000091938,0.00002308133,0.0001583214,0.01103083,0.001923191,0.001465593,0.0003879823,0.006679893,0.00002394827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988837,0.0002760348,0.0004820079,0.0004443879,0.000009576474,0.00009333164,0.003656178,0.00001687611,0.006184641],"genre_scores_gemma":[0.9913152,0.0005968129,0.001295281,0.0001202452,0.000002999553,0.00007295201,0.002544713,0.000008268638,0.004043549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06931698,"threshold_uncertainty_score":0.1394504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943541640974046,"score_gpt":0.3016237184317972,"score_spread":0.2521883020220568,"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."}}