{"id":"W4409914255","doi":"10.1139/as-2024-0006","title":"Indigenous knowledge data management issues and co-production of knowledge in Kamchatka","year":2025,"lang":"en","type":"article","venue":"Arctic Science","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Traditional knowledge; Knowledge production; Production (economics); Geography; Knowledge management; Environmental resource management; Environmental planning; Business; Environmental science; Ecology; Computer science; Biology; 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"],"consensus_categories":[],"category_scores_codex":[0.002902034,0.00008282915,0.0001981121,0.0003463176,0.002125713,0.000005862646,0.0005257638,0.00005002327,0.00003335245],"category_scores_gemma":[0.000295144,0.00007343595,0.00000839714,0.0009798454,0.0004902746,0.0001611361,0.001215936,0.000173455,0.00008112424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002613592,"about_ca_system_score_gemma":0.000487339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00246542,"about_ca_topic_score_gemma":0.01728197,"domain_scores_codex":[0.9983712,0.0001132545,0.000316317,0.0004577921,0.0001048097,0.0006365689],"domain_scores_gemma":[0.9989435,0.0001610553,0.00008276325,0.0005806274,0.0001940759,0.00003796996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004704644,0.0005406106,0.6646337,0.002195985,0.00005239005,0.000006501752,0.2655452,0.000004854153,0.0004440137,0.02361607,0.007481982,0.03543172],"study_design_scores_gemma":[0.0007274504,0.000129438,0.8352153,0.0005453865,0.00004029772,0.000002564047,0.09119716,0.0002056111,0.0002041251,0.002713909,0.06882109,0.0001977166],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252921,0.003679787,0.00003133557,0.0009976007,0.002200697,0.001059231,0.000004887192,0.00002455714,0.06670983],"genre_scores_gemma":[0.9920517,0.001400019,0.000469501,0.0001150024,0.00006011458,0.00005038053,0.000003782478,0.000004174693,0.005845326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.174348,"threshold_uncertainty_score":0.9991734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08507582356999535,"score_gpt":0.4731610650795579,"score_spread":0.3880852415095625,"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."}}