{"id":"W7117468832","doi":"10.2196/89755","title":"Correction: Digital Health for Australia: Bridging the Rural, Regional, and Remote Health Gap","year":2025,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Digital health; Health services; Public health; Health care; Health data","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007093483,0.003584204,0.00280693,0.00383486,0.004818866,0.007824002,0.005449345,0.0182543,0.04013976],"category_scores_gemma":[0.1128108,0.001772748,0.002376661,0.003032478,0.005920744,0.003685426,0.003683544,0.0260103,0.02198156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007847936,"about_ca_system_score_gemma":0.01254894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03861834,"about_ca_topic_score_gemma":0.04786118,"domain_scores_codex":[0.98904,0.00209281,0.001816717,0.001429607,0.004481182,0.001139743],"domain_scores_gemma":[0.9456211,0.01636208,0.002947089,0.002645869,0.02918685,0.003236853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001776343,0.000004810398,0.00004121431,0.0001357636,0.0000135687,0.0001444432,0.00005026984,0.00003050963,0.00002061355,0.0007013227,0.9962775,0.002562261],"study_design_scores_gemma":[0.00005075167,0.00002723792,0.0007467648,0.000723239,0.00004112787,0.0005556793,0.000224766,0.0003831816,0.0002161978,0.001816864,0.9951407,0.00007344707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007875699,0.0006998208,0.0003354405,0.08577784,0.9112426,0.00002217984,0.0003910149,0.0002569213,0.001195328],"genre_scores_gemma":[0.01118487,0.00994458,0.003058952,0.2177066,0.6578734,0.0002973693,0.000875695,0.001169444,0.09788904],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04013976,"threshold_uncertainty_score":0.1342809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1939510926535821,"score_gpt":0.567318411282759,"score_spread":0.3733673186291768,"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."}}