{"id":"W3186596110","doi":"","title":"87 Sr/ 86 Sr in Canadian tap waters: Implications for water provenance and water quality vulnerability","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tap water; Water quality; Provenance; Vulnerability (computing); Environmental science; Quality (philosophy); Geology; Environmental engineering; Computer science; Geochemistry; Computer security; Biology; Physics; Ecology","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":[0.0007005028,0.0001429252,0.0001583219,0.00002593408,0.0001754867,0.00005205419,0.0001462432,0.00007735742,0.00002926776],"category_scores_gemma":[0.0001413596,0.0001020271,0.00003983687,0.00005441515,0.0001060916,0.0002522976,0.00003223995,0.0001464836,0.00008921592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909921,"about_ca_system_score_gemma":0.00001806637,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1926687,"about_ca_topic_score_gemma":0.4145659,"domain_scores_codex":[0.9985331,0.00007029562,0.0003275686,0.0004533397,0.0001081707,0.0005074826],"domain_scores_gemma":[0.9993851,0.0000843242,0.00002912316,0.000163312,0.00001959075,0.0003185732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002923964,0.00007392666,0.9137017,0.00005788112,0.00001072296,0.000004601335,0.004485073,0.0009166443,0.07409998,0.000108112,0.0001620721,0.00635011],"study_design_scores_gemma":[0.0004152575,0.0000332436,0.9566274,0.000009590462,0.000007813399,0.000001559977,0.00007290797,0.000121333,0.02872082,0.000344981,0.01345357,0.0001915354],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773695,0.000008618791,0.0000407625,0.01568045,0.0000426256,0.0006036541,0.00003136956,0.00002922896,0.006193733],"genre_scores_gemma":[0.9982383,0.000006300387,0.0002727763,0.001151946,0.00002973137,0.000149244,0.00004115706,0.00001419902,0.00009636879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2218972,"threshold_uncertainty_score":0.8127074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028886714333003,"score_gpt":0.2705445987555188,"score_spread":0.2416578844225158,"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."}}