{"id":"W7083687060","doi":"10.26183/tp9e-jj77","title":"First Nations Digital Inclusion in Western Sydney","year":2025,"lang":"en","type":"report","venue":"Western Sydney University ResearchDirect","topic":"Agriculture, Water, and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Inclusion (mineral); General partnership; Government (linguistics); Digital inclusion; Disadvantage; Corporate governance; Face (sociological concept); Closing (real estate)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000934138,0.0002481652,0.0001493659,0.001469376,0.003523038,0.002158476,0.0004317224,0.0004766962,0.008474655],"category_scores_gemma":[0.001068222,0.0002461878,0.0001410753,0.001939701,0.00100313,0.001317315,0.005008435,0.0007220119,0.001150384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004397145,"about_ca_system_score_gemma":0.01653175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3910618,"about_ca_topic_score_gemma":0.6148659,"domain_scores_codex":[0.9990041,0.0001642079,0.00004226895,0.00005196413,0.0004341015,0.0003033816],"domain_scores_gemma":[0.9987728,0.00009371421,0.0001261012,0.00009452925,0.0004369967,0.0004758551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001417886,0.0005971348,0.1367995,0.002012812,0.00005436376,0.004483832,0.2586578,0.0005592102,0.005588581,0.05238597,0.2029089,0.3358101],"study_design_scores_gemma":[0.000007156204,0.00007955434,0.3091648,0.0004310234,0.000007821971,0.0004645223,0.04933891,0.000139944,0.00101549,0.001020818,0.6383003,0.0000297202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5873261,0.003209951,0.0003347269,0.008284595,0.0002288867,0.0005420878,0.003184038,0.0001035373,0.3967861],"genre_scores_gemma":[0.5555787,0.006880844,0.002260021,0.001299269,0.0001134167,0.001130044,0.003741043,0.00007605441,0.4289207],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3910618,"threshold_uncertainty_score":0.777571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02853553720738595,"score_gpt":0.285776180598443,"score_spread":0.2572406433910571,"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."}}