{"id":"W3048136433","doi":"","title":"Lhù'ààn Mǟn - Kluane Lake, Yukon Territory, the Impending Hydrological Fate after Slims River Piracy","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Geology; Geography; Fishery; Biology","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001853022,0.0002107692,0.0002150227,0.00007269793,0.001688341,0.00001964013,0.0005793454,0.0003533412,0.0001351022],"category_scores_gemma":[0.0007248062,0.0001499673,0.0001219089,0.0001402111,0.002836691,0.0002820193,0.0001912196,0.0006295313,0.0006907551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002816,"about_ca_system_score_gemma":0.00008085558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01042489,"about_ca_topic_score_gemma":0.09973495,"domain_scores_codex":[0.997623,0.0004324442,0.000339409,0.0004300705,0.0004264512,0.000748619],"domain_scores_gemma":[0.9985465,0.0006838749,0.000222216,0.0002759355,0.00008668296,0.0001847599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009949242,0.0003892992,0.7268016,0.0000567188,0.0002509933,0.001029001,0.1826983,0.0001387617,0.001539201,0.002703126,0.04527438,0.03812374],"study_design_scores_gemma":[0.0003507071,0.0001999486,0.5078483,0.00008505211,0.00006051059,0.00001657429,0.0007721872,0.00004036037,0.0001862191,0.005269157,0.4847389,0.0004321086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259194,0.0008623131,0.000004119719,0.002382581,0.001485285,0.000212356,0.000004829804,0.0001696739,0.06895943],"genre_scores_gemma":[0.9941186,0.0001226929,0.0004888168,0.001309625,0.001861451,0.00002100699,0.000005767845,0.00001722226,0.00205477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4394645,"threshold_uncertainty_score":0.999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02145485167333142,"score_gpt":0.2821565690494697,"score_spread":0.2607017173761383,"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."}}