{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000772758,0.0003795128,0.0005693492,0.002739075,0.004263742,0.001877826,0.000951217,0.0007022761,0.002076159],"category_scores_gemma":[0.00142158,0.0003737322,0.000316672,0.003645157,0.001772705,0.000841924,0.0009549191,0.0005823172,0.000223019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02504813,"about_ca_system_score_gemma":0.02479072,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9879456,"about_ca_topic_score_gemma":0.9908717,"domain_scores_codex":[0.9991786,0.00003794569,0.00002667179,0.0001714899,0.0002942563,0.0002910545],"domain_scores_gemma":[0.9988415,0.00005111117,0.00009651695,0.00002578993,0.0008975493,0.00008753641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00158555,0.00004985444,0.8914961,0.0001822861,0.0001657029,0.0006494938,0.004266855,0.002467078,0.06336941,0.002613605,0.001656938,0.0314972],"study_design_scores_gemma":[0.00001616126,0.00004695232,0.9860106,0.00002684627,0.00007426326,0.000146381,0.004137816,0.001039868,0.00462108,0.0003964753,0.003454864,0.00002865193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933416,0.0004417144,0.0002743943,0.0003057729,0.00000711849,0.00001547835,0.0007388602,0.00001800647,0.004857087],"genre_scores_gemma":[0.9970463,0.0003796645,0.0002870284,0.00004566116,0.000002293951,0.000005719182,0.0002191759,0.00001642503,0.001997721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02504813,"threshold_uncertainty_score":0.1817377,"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."}}