{"id":"W3025366355","doi":"10.5694/mja2.50690","title":"The National Disability Insurance Scheme and <scp>COVID</scp> ‐19: a collision course","year":2020,"lang":"en","type":"letter","venue":"The Medical Journal of Australia","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"National Health and Medical Research Council","keywords":"Workforce; Casual; Disability insurance; Government (linguistics); Business; Medicine; Gerontology; Public relations; Economic growth; Political science; Social security; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006755946,0.00116226,0.001272877,0.0009833416,0.003545086,0.005718297,0.003284183,0.02911908,0.01866695],"category_scores_gemma":[0.04653403,0.0009188071,0.00131447,0.0009318548,0.00375885,0.006566146,0.002320545,0.03754585,0.007666009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004098907,"about_ca_system_score_gemma":0.006277899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0106956,"about_ca_topic_score_gemma":0.01970968,"domain_scores_codex":[0.995749,0.001075328,0.0005056168,0.0006155631,0.00154141,0.0005130079],"domain_scores_gemma":[0.9731128,0.0168044,0.001272273,0.0007630975,0.004952393,0.003095083],"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":[0.000007664383,0.00001152151,0.00007189588,0.00003650483,0.000003345857,0.00009710339,0.00002537845,0.00001371478,0.000008401445,0.0008357702,0.9945716,0.004317083],"study_design_scores_gemma":[0.00002208793,0.00001505925,0.0004777116,0.0005134883,0.000009804432,0.0002338964,0.0001222556,0.00008925807,0.00003703303,0.001378673,0.9970772,0.00002348621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0001527089,0.003916635,0.000136026,0.7619711,0.2306577,0.00001369977,0.00007473963,0.0000342166,0.003043158],"genre_scores_gemma":[0.002183978,0.005172858,0.000196871,0.6194148,0.3611948,0.00003459603,0.00006233388,0.00004822953,0.01169163],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02911908,"threshold_uncertainty_score":0.06244719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444406909632661,"score_gpt":0.4351908305683893,"score_spread":0.2907501396051232,"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."}}