{"id":"W6913035034","doi":"10.5683/sp2/4e6lgs","title":"History of DOM DBP in Drinking Water Sources across the Northwest Territories","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Government of Northwest Territories; Wilfrid Laurier University","funders":"","keywords":"Trihalomethane; Water quality; Sampling (signal processing); Dissolved organic carbon; Water source; Government (linguistics); Data source","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":[0.0005284565,0.0005809075,0.0007127452,0.002254797,0.0005169387,0.001070252,0.00089622,0.0004645968,0.01065882],"category_scores_gemma":[0.002713807,0.0003602798,0.0007005862,0.008269181,0.0002193343,0.000704355,0.001059911,0.0006340137,0.007475067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598896,"about_ca_system_score_gemma":0.002886969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4253447,"about_ca_topic_score_gemma":0.4093755,"domain_scores_codex":[0.9993289,0.00006839297,0.0000932378,0.0002153502,0.0001865031,0.0001075533],"domain_scores_gemma":[0.9982107,0.0002480116,0.0003383466,0.0002208696,0.0008091672,0.0001729954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002701326,0.00006715519,0.1907483,0.002073877,0.0003515727,0.0002834651,0.00036938,0.00220829,0.0007634747,0.001435504,0.770417,0.03101187],"study_design_scores_gemma":[0.00005761874,0.00002518987,0.4368309,0.0008651193,0.0001366682,0.0002799726,0.000750938,0.001693054,0.001208243,0.0005917785,0.5574735,0.00008697026],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004201572,0.000214853,0.00009462512,0.00005762079,0.00001338172,0.0000062797,0.9940035,0.00005326415,0.001354856],"genre_scores_gemma":[0.008199359,0.0002914124,0.0002247526,0.00003876005,0.000007432135,0.00003481653,0.9898068,0.00003058098,0.001366086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5746553,"threshold_uncertainty_score":0.8457379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818870571130387,"score_gpt":0.2517116678195989,"score_spread":0.233522962108295,"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."}}