{"id":"W4410000006","doi":"10.32920/28915823","title":"Using Source Tracking AI to Analyze News Coverage about First Nations, Indigenous and Métis Communities","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Tracking (education); Political science; Geography; Computer science; Sociology; Ecology; Biology","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":[0.001119901,0.0002020516,0.0004017663,0.0006695837,0.002834405,0.0007280217,0.0004271852,0.0001993837,0.0002341418],"category_scores_gemma":[0.000338252,0.0002126723,0.0001632662,0.0007453311,0.0001312754,0.0001293665,0.0007008967,0.0003982348,0.000004146849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379387,"about_ca_system_score_gemma":0.0005989615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1814187,"about_ca_topic_score_gemma":0.3339089,"domain_scores_codex":[0.9979963,0.0006335545,0.0003722279,0.0002836854,0.0004236826,0.0002905674],"domain_scores_gemma":[0.9976258,0.001532078,0.0001606471,0.0002461063,0.0003089685,0.0001264288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001147165,0.0001005693,0.07338472,0.0002088609,0.0004356508,0.000004230804,0.2653325,0.4589415,0.000001389637,0.01690396,0.0002442934,0.1844309],"study_design_scores_gemma":[0.0007036567,0.00005718959,0.06331068,0.001896739,0.001192719,0.000005844335,0.08593954,0.1156477,0.00002302071,0.06857078,0.660111,0.002541141],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2341886,0.0009189979,0.7286762,0.00257757,0.0003472482,0.0005147637,0.00005493033,0.0001374802,0.03258421],"genre_scores_gemma":[0.9665676,0.001096026,0.02476125,0.001265373,0.0002502477,0.00002195838,0.00005707925,0.00001202241,0.005968434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.732379,"threshold_uncertainty_score":0.9984637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07351205673171586,"score_gpt":0.4069174012741839,"score_spread":0.3334053445424681,"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."}}