{"id":"W2601780318","doi":"10.4095/296954","title":"Geochemistry of lakes across ecozones in the Northwest Territories and implications for the distribution of arsenic in the Yellowknife region. Part 1: Sediments","year":2015,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Geology; Geochemistry; Arsenic; Distribution (mathematics); Earth science; 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":[],"consensus_categories":[],"category_scores_codex":[0.002200059,0.0001759413,0.000267894,0.00001454974,0.0001327912,0.00006258994,0.001216508,0.00018207,0.00000132553],"category_scores_gemma":[0.0006316665,0.00008856873,0.00008779179,0.0002791668,0.0002839988,0.00008429126,0.0002077829,0.0002207482,1.31816e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000449945,"about_ca_system_score_gemma":0.0003571527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336266,"about_ca_topic_score_gemma":0.002584408,"domain_scores_codex":[0.99848,0.00006162179,0.0005103591,0.0003172173,0.0003943884,0.0002364368],"domain_scores_gemma":[0.9974156,0.0006726817,0.0004148054,0.0009326732,0.0005421473,0.00002211384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009129496,0.001693781,0.5684643,0.004160927,0.0004494594,0.00003651056,0.02656574,0.0007045147,0.0006000252,0.01631325,0.3572297,0.02369048],"study_design_scores_gemma":[0.000695782,0.0001032419,0.192059,0.0003507849,0.00008232755,0.0003613115,0.006750328,0.0007627219,0.001650015,0.01426234,0.7824621,0.0004601186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6791784,0.01696768,0.03244985,0.1685142,0.004026902,0.01077469,0.007428683,0.0002561283,0.08040342],"genre_scores_gemma":[0.9979839,0.0004135197,0.00006644304,0.00004297564,0.0001643215,0.000240743,0.0004298903,0.000002331418,0.0006559091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4252324,"threshold_uncertainty_score":0.3611728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0552325959494474,"score_gpt":0.3062768286069327,"score_spread":0.2510442326574853,"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."}}