{"id":"W3014916344","doi":"","title":"Assessing Baseline Stream Metal Concentrations in the Cumulative Impact Monitoring Program for Hydrocarbon Extraction by Hydraulic Fracturing of the Canol Shale Play, Central Mackenzie Valley, NT, Canada","year":2019,"lang":"en","type":"article","venue":"AGUFM","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydraulic fracturing; Oil shale; Baseline (sea); Extraction (chemistry); Geology; Petroleum engineering; Hydrocarbon; Mining engineering; Hydrology (agriculture); Environmental science; Geotechnical engineering; Paleontology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876198,0.0001268509,0.0001322884,0.00001241406,0.0001621945,0.0000521038,0.0001766581,0.00003267703,0.00003698816],"category_scores_gemma":[0.0000276372,0.0000782626,0.00006648041,0.0001534298,0.00004639721,0.0003479001,0.00004327481,0.0001227561,0.000001220003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927912,"about_ca_system_score_gemma":0.00006755681,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3753121,"about_ca_topic_score_gemma":0.1805053,"domain_scores_codex":[0.9989108,0.00008554357,0.0002187429,0.0001877503,0.0003194493,0.0002777003],"domain_scores_gemma":[0.9994685,0.0001909239,0.0001350868,0.0001600901,0.00001262937,0.00003276063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001982098,0.0002172217,0.9072942,0.00001605377,0.00007847602,0.000002596593,0.002913926,0.02612025,0.03335771,0.000007667953,0.0004080555,0.02956407],"study_design_scores_gemma":[0.0005488418,0.0000684863,0.9215797,0.00003420819,0.00004031861,0.000003710709,0.003300003,0.02286509,0.04956712,0.0000192594,0.001811056,0.000162268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980066,0.00006676808,0.0003027417,0.0002467031,0.0002188951,0.0007482886,0.00002821809,0.00001066824,0.0003711607],"genre_scores_gemma":[0.9995576,0.000003974456,0.00006561365,0.00004740409,0.00004180216,0.00007701878,0.00002563146,0.000008530948,0.0001723839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1948068,"threshold_uncertainty_score":0.8344483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01500801547814484,"score_gpt":0.2873045210249499,"score_spread":0.272296505546805,"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."}}