{"id":"W3007901112","doi":"","title":"\"I get by with a little help from my friends\": A case study in Holy Cross and Grayling using geographic, ethnographic, and biophysical data to tell the story of climate change effects in the lower-middle Yukon River region","year":2017,"lang":"en","type":"article","venue":"AGUFM","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Grayling; Ethnography; Climate change; Geography; History; Archaeology; Fish <Actinopterygii>; Fishery; Geology; Oceanography","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":[],"category_scores_codex":[0.00147166,0.000166798,0.0003372685,0.0001033888,0.003764809,0.00003292922,0.0003516419,0.0001175685,0.000001587537],"category_scores_gemma":[0.00009953357,0.00009779979,0.00002081656,0.0001716076,0.0003927546,0.000177372,0.0008426888,0.000596809,0.000001610772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002505435,"about_ca_system_score_gemma":0.0000322305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1120886,"about_ca_topic_score_gemma":0.1972071,"domain_scores_codex":[0.9979753,0.0006581998,0.0002303028,0.000410926,0.0001306926,0.0005945943],"domain_scores_gemma":[0.9978306,0.0009591304,0.0002195853,0.0008858684,0.00005122897,0.00005357708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001723201,0.0003104185,0.7861283,0.0001031695,0.00004029478,0.0005757123,0.2121734,0.000001602733,0.00007878365,0.0000280632,0.00002130005,0.0003666259],"study_design_scores_gemma":[0.001839908,0.0009316828,0.8635598,0.0003624774,0.0000866642,0.00002350881,0.1322431,0.0005611141,0.000003678037,0.0000685354,0.0001267933,0.000192734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963741,0.0006602306,0.000005438238,0.000577244,0.0001464968,0.002102006,0.00009086533,0.000008879176,0.00003473022],"genre_scores_gemma":[0.9989415,0.0003183721,0.00004608735,0.000404342,0.00009387464,0.0001687542,0.000007382596,0.00001740841,0.00000227578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08511849,"threshold_uncertainty_score":0.9975321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385560941596778,"score_gpt":0.4002150979625442,"score_spread":0.2616590038028663,"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."}}