{"id":"W4416921419","doi":"10.2196/67460","title":"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":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital health; Bridging (networking); Rural health; Rural area; Telemedicine; Digital divide; Perspective (graphical); eHealth; Health care; Health technology","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":[0.004981847,0.0002594547,0.0003286419,0.0009501762,0.003553726,0.005324033,0.001104427,0.002697113,0.009293165],"category_scores_gemma":[0.01171544,0.000243775,0.0003006427,0.0009430396,0.003123062,0.005785414,0.01014467,0.002860212,0.0007009201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003420236,"about_ca_system_score_gemma":0.01990307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669774,"about_ca_topic_score_gemma":0.03030393,"domain_scores_codex":[0.9969923,0.001666732,0.0001592338,0.0002112114,0.0003964971,0.0005739518],"domain_scores_gemma":[0.990247,0.00345287,0.000730885,0.0003267215,0.0009155243,0.004327022],"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":[0.0001115745,0.0007865496,0.0213351,0.006633375,0.00009352341,0.002999302,0.07463167,0.0007607072,0.003901009,0.2047767,0.06965832,0.6143122],"study_design_scores_gemma":[0.00007829406,0.001260708,0.09142657,0.006865334,0.0001372203,0.002349794,0.08267979,0.002701783,0.001021712,0.09831545,0.713064,0.00009936156],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1554814,0.02941852,0.006795431,0.7398584,0.001495748,0.000251615,0.0001805268,0.0001236501,0.06639468],"genre_scores_gemma":[0.8832909,0.03390559,0.01095814,0.05821664,0.001010203,0.0003012987,0.000101846,0.00003802727,0.01217725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01669774,"threshold_uncertainty_score":0.0332011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2185492841979141,"score_gpt":0.5808470339691484,"score_spread":0.3622977497712343,"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."}}