{"id":"W4411139861","doi":"10.2196/73460","title":"Improving Mental Health Referral Systems in Rural Australia: Co-Design Study With Health Professionals and Consumers","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Mental health; Health professionals; Referral; Medicine; Psychology; Family medicine; Psychiatry; Health care; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004814665,0.0001824322,0.0003008896,0.0002327887,0.0004903397,0.0001661705,0.0003471194,0.00004251705,0.000003371521],"category_scores_gemma":[0.000002592348,0.0001417814,0.00001918327,0.0003521158,0.00006143835,0.0002531205,0.00008106837,0.000219652,0.000003089883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823276,"about_ca_system_score_gemma":0.0003220628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002446053,"about_ca_topic_score_gemma":0.0002299412,"domain_scores_codex":[0.9983392,0.0002962334,0.000341802,0.0003883657,0.0002578973,0.0003764771],"domain_scores_gemma":[0.9992968,0.00005533292,0.0001760769,0.0002975308,0.00002008596,0.0001541227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000158625,0.004411698,0.7631287,0.0009046935,0.0002537307,0.00001966879,0.0973208,0.00003925571,0.005049282,0.06876531,0.05050761,0.009440613],"study_design_scores_gemma":[0.004056045,0.002266688,0.9464077,0.0007374099,0.000007547108,0.00001140307,0.04200752,0.002599122,0.0001726834,0.0001384541,0.000890526,0.0007048624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890023,0.0001558833,0.005751903,0.001622646,0.0001016202,0.003187311,0.00001422845,0.000122837,0.00004123418],"genre_scores_gemma":[0.9982897,0.000001939556,0.0004641075,0.0002367046,0.000007252631,0.000246012,0.00001452105,0.000007200005,0.000732546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.183279,"threshold_uncertainty_score":0.5781677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08124480941358879,"score_gpt":0.3992016427378879,"score_spread":0.3179568333242991,"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."}}