{"id":"W7115699030","doi":"10.25439/rmt.30843362","title":"Counting on connectivity: measuring digital inclusion for First Nations Australians in 2025","year":2025,"lang":"","type":"other","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Digital inclusion; Inclusion (mineral); Empowerment; Digital divide; Digital media; Resilience (materials science); Key (lock)","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":[0.003136519,0.0002371527,0.000199723,0.002509228,0.001678732,0.002184238,0.0006840426,0.0006976241,0.0101732],"category_scores_gemma":[0.01048944,0.0001937776,0.0003261095,0.003004459,0.0004848586,0.002352015,0.003367733,0.0006988375,0.002642882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001296987,"about_ca_system_score_gemma":0.001716602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06692247,"about_ca_topic_score_gemma":0.09029637,"domain_scores_codex":[0.9984733,0.0006806694,0.0001199682,0.0001126311,0.0004499904,0.0001633096],"domain_scores_gemma":[0.9944878,0.0008867347,0.0008121281,0.0004205877,0.002363429,0.001029393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000156571,0.0003021313,0.5110287,0.001003804,0.0001168868,0.0003205641,0.06816366,0.0008520856,0.001139247,0.01166687,0.09825275,0.3069967],"study_design_scores_gemma":[0.000008078763,0.0001971724,0.8352596,0.0004698875,0.00004477426,0.0001461051,0.04282342,0.00151082,0.0006953094,0.002524734,0.116266,0.00005423476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8077146,0.0007585119,0.005851469,0.004186399,0.0002257221,0.001289829,0.03175974,0.0004602677,0.1477535],"genre_scores_gemma":[0.9492466,0.0006445377,0.01217595,0.0007282943,0.00004138251,0.001926607,0.0110815,0.00007266147,0.02408238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06692247,"threshold_uncertainty_score":0.1330659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07812018274379053,"score_gpt":0.301295337078564,"score_spread":0.2231751543347735,"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."}}