{"id":"W4390512905","doi":"10.14430/arctic78115","title":"Ancient Alaskan Fuel Selectivity Strategies","year":2023,"lang":"en","type":"article","venue":"ARCTIC","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Firewood; Fuel efficiency; Natural resource economics; Fuel oil; Environmental science; Waste management; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005485713,0.00007804392,0.0001454798,0.00006019872,0.002328326,0.00000533938,0.00007747315,0.00007958802,0.0004440905],"category_scores_gemma":[0.0001223028,0.00006671259,0.0000332952,0.0003379139,0.00003632486,0.0000603079,0.0001479411,0.0002807403,0.00487011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001978546,"about_ca_system_score_gemma":0.0003425571,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006653128,"about_ca_topic_score_gemma":0.09084057,"domain_scores_codex":[0.9984739,0.0001421654,0.0001590094,0.000172891,0.00008960405,0.0009624522],"domain_scores_gemma":[0.999317,0.0003027412,0.00005386563,0.0001558667,0.0001170497,0.00005346881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004511667,0.0001365054,0.7670369,0.0008330065,0.0001282963,0.00005744761,0.1695161,0.0001173764,0.0005347397,0.0166162,0.04409346,0.0008848966],"study_design_scores_gemma":[0.000305372,0.0001396065,0.8861256,0.00002082045,0.00001389797,0.000001846024,0.05613118,0.0001319979,0.000004594333,0.004675329,0.05232891,0.0001208241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518942,0.00007394551,0.00001304543,0.001934685,0.001157753,0.0004179736,0.00000428635,0.0002394403,0.04426467],"genre_scores_gemma":[0.9951789,0.00009135369,0.00002907645,0.0009933099,0.0002000001,0.0001288553,0.000007728612,0.00001266443,0.003358075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190887,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0525284758392591,"score_gpt":0.3935393721734485,"score_spread":0.3410108963341894,"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."}}