{"id":"W2981361476","doi":"10.4095/289911","title":"Total arsenic concentrations of lake sediments near the city of Yellowknife, Northwest Territories","year":2012,"lang":"en","type":"report","venue":"","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Arsenic; Geochemistry; Archaeology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008898578,0.0003146488,0.0005035926,0.00002040604,0.0001711821,0.00002216539,0.0004413553,0.0002561591,0.01319825],"category_scores_gemma":[0.0001011377,0.000218235,0.000237751,0.0001579603,0.002102806,0.0001739652,0.0004465755,0.0003195326,0.0001473298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004294674,"about_ca_system_score_gemma":0.0002055818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01036386,"about_ca_topic_score_gemma":0.01487267,"domain_scores_codex":[0.9965257,0.0001189498,0.0008570947,0.0003561521,0.001740802,0.0004013129],"domain_scores_gemma":[0.9982215,0.000136862,0.0005999719,0.0008787557,0.00001903253,0.000143886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007758736,0.00049537,0.9903913,0.00006570714,0.0001783145,0.00000339504,0.0006664938,0.0004014382,0.001030555,0.00004985905,0.005465944,0.001243831],"study_design_scores_gemma":[0.0001547394,0.0000702147,0.6347042,0.0000378156,0.0001911632,0.00002353784,0.0001136905,0.00002460106,0.004071954,0.00003616715,0.3602935,0.0002784401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8212221,0.0002824126,0.0002408516,0.000155706,0.003234818,0.001238706,0.001149058,0.0000417736,0.1724346],"genre_scores_gemma":[0.9896522,0.0002381986,0.0008528722,0.00003041803,0.0002491453,0.00003769569,0.0002138928,0.00003276718,0.008692826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3556872,"threshold_uncertainty_score":0.9962262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253107898070703,"score_gpt":0.2668439164299862,"score_spread":0.2343128374492792,"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."}}