{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001033694,0.000461918,0.0006413625,0.0007449565,0.001491978,0.0001942544,0.001510525,0.0006093974,0.0004919712],"category_scores_gemma":[0.0004166933,0.0004297674,0.0002263099,0.001408262,0.0003329868,0.0007399915,0.009066383,0.00119143,0.0008238655],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00519217,"about_ca_system_score_gemma":0.0008416156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02242701,"about_ca_topic_score_gemma":0.163596,"domain_scores_codex":[0.9949662,0.0002521078,0.0004338291,0.001067701,0.002338945,0.0009412105],"domain_scores_gemma":[0.9980882,0.0003989446,0.0002164264,0.0006547581,0.0001259402,0.0005156618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001547673,0.0005395249,0.9141563,0.0008675808,0.00008743972,0.0009337912,0.002910906,0.0001464205,0.00001967841,0.0000365964,0.07500845,0.005138562],"study_design_scores_gemma":[0.0005282332,0.0000999072,0.1509332,0.0008716083,0.00002927629,0.00002763086,0.0002356276,0.00001975839,0.00001383148,0.00008518369,0.8466947,0.0004610383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1318445,0.0002670359,0.00007019607,0.002857886,0.00068114,0.00177315,0.001031071,0.0002796168,0.8611954],"genre_scores_gemma":[0.3842348,0.009668637,0.00006050354,0.000162479,0.0002726306,0.00001147836,0.001173491,0.00006042197,0.6043555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7716863,"threshold_uncertainty_score":0.9999541,"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."}}