{"id":"W6987148144","doi":"","title":"Services de santé mentale en Australie","year":2014,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Government (linguistics); Legislation; Commonwealth; Population; Health care; Mental Health Act; Population health; Mental health law","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":[0.0009279723,0.0006914769,0.000569824,0.0009236303,0.002690762,0.001815819,0.0008299637,0.0009382077,0.08443906],"category_scores_gemma":[0.002828263,0.0002016463,0.0004643288,0.001566885,0.0006430458,0.0007015638,0.002049832,0.002356226,0.01317674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01610496,"about_ca_system_score_gemma":0.06666177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8321021,"about_ca_topic_score_gemma":0.8877023,"domain_scores_codex":[0.9985914,0.0001393383,0.00006135688,0.00009599594,0.0006201923,0.0004917324],"domain_scores_gemma":[0.9974408,0.00009964993,0.0001065493,0.00004799365,0.001154813,0.001150213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000572436,0.00006316981,0.003335958,0.0004766087,0.00003506036,0.0003759306,0.0004727194,0.00009319971,0.0003392134,0.008614675,0.7605217,0.2256145],"study_design_scores_gemma":[0.00003470752,0.00002293723,0.01233266,0.0003261367,0.000008297147,0.0002795827,0.0003040032,0.00009934359,0.00005062924,0.0008291519,0.9857004,0.00001213088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01183466,0.05718303,0.002496058,0.06917381,0.009857983,0.0008500933,0.02215999,0.001316291,0.8251282],"genre_scores_gemma":[0.0942722,0.05680692,0.01024174,0.02585859,0.001656408,0.0008470991,0.01359062,0.0003650257,0.7963614],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8321021,"threshold_uncertainty_score":0.3377733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008065192453560195,"score_gpt":0.2147523157302937,"score_spread":0.2066871232767336,"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."}}