{"id":"W2938890545","doi":"10.1080/01576895.2019.1587809","title":"Information technologies and Indigenous communities","year":2019,"lang":"en","type":"article","venue":"Archives and Manuscripts","topic":"Indigenous Knowledge Systems and Agriculture","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Melbourne; Australian Institute of Aboriginal and Torres Strait Islander Studies; Aarhus Universitet; University of Warwick; Fred Hollows Foundation; University of Oxford; University of Minnesota","keywords":"Indigenous; Data science; Geography; World Wide Web; Knowledge management; Environmental planning; Environmental resource management; Computer science; Ecology; Biology; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004496892,0.00009213595,0.0001094142,0.00001532023,0.0002850551,0.00009579426,0.0001020237,0.00005246649,0.00001513216],"category_scores_gemma":[0.000002687255,0.00003111816,0.00002132346,0.00005543013,0.00006317734,0.0002174379,0.0001134101,0.00009241502,0.00002151715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002564901,"about_ca_system_score_gemma":0.000002337866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005941975,"about_ca_topic_score_gemma":0.0007503682,"domain_scores_codex":[0.9995856,0.00002263471,0.000103751,0.00006222308,0.00005449115,0.0001712942],"domain_scores_gemma":[0.9998282,0.00005074274,0.00004346746,0.00003822365,0.00001242753,0.00002695528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001974595,0.00003549777,0.05288251,0.0001011271,0.00002365362,0.000001295849,0.03749433,4.386471e-7,0.02935108,0.005805559,0.0003159721,0.8739688],"study_design_scores_gemma":[0.0002177375,0.0004826933,0.6155025,0.00008248736,0.000008883116,0.00006927262,0.1424841,0.00003267208,0.0007785196,0.003182537,0.2368378,0.0003208382],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916827,0.0007778016,0.000001419915,0.0002415412,0.00007516985,0.0002484711,0.00002030312,0.00009944326,0.006853123],"genre_scores_gemma":[0.9986927,0.000425671,0.00003792821,0.00008642115,0.00002736045,0.000009244697,0.00004891124,3.511111e-7,0.000671394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8736479,"threshold_uncertainty_score":0.2192443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006672629138247391,"score_gpt":0.161022977957553,"score_spread":0.1543503488193056,"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."}}