{"id":"W4225253051","doi":"10.3390/ijgi11050292","title":"Mapping for Awareness of Indigenous Stories","year":2022,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Hope Foundation","keywords":"Indigenous; Context (archaeology); Storytelling; Variety (cybernetics); Relevance (law); Citizen journalism; Sociology; Geography; Political science; Narrative; Computer science; Archaeology; Ecology; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001076253,0.0000505735,0.0001071545,0.000541173,0.0004202077,0.00007249126,0.0004463294,0.00002962225,0.0003398902],"category_scores_gemma":[0.0002604634,0.00005362537,0.0001255885,0.0001698101,0.00005302207,0.001246169,0.00003463414,0.000107872,0.000003268638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001854057,"about_ca_system_score_gemma":0.0007667543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155117,"about_ca_topic_score_gemma":0.000077884,"domain_scores_codex":[0.9985229,0.00006805262,0.0004996341,0.00003115018,0.0007635361,0.0001147274],"domain_scores_gemma":[0.9975927,0.0001102299,0.0008381387,0.0000493787,0.001361685,0.00004781417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004282475,0.0002360821,0.1016974,0.00005676443,0.0003679603,0.00000200043,0.6688324,0.004243451,0.00009723612,0.05103844,0.007871497,0.1651285],"study_design_scores_gemma":[0.0004958928,0.00009384792,0.01536748,0.00001358709,0.000009246759,0.00001420554,0.1103868,0.00004563289,0.00008699251,0.00199668,0.8714153,0.00007437517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9398599,0.0001815007,0.03340047,0.006251746,0.01341526,0.0004062039,0.0002299831,0.00002355228,0.006231376],"genre_scores_gemma":[0.9982844,0.00005495052,0.0008048785,0.0003627648,0.0003035859,0.00001553724,0.00005004388,0.000002403921,0.0001214172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8635438,"threshold_uncertainty_score":0.372156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010305475403509,"score_gpt":0.3677679621522721,"score_spread":0.3376649073982371,"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."}}