{"id":"W2746822164","doi":"","title":"Canada’s mental health trends: Prescription for psychology","year":2017,"lang":"es","type":"article","venue":"Revista Interamericana de Psicología/Interamerican Journal of Psychology","topic":"Medical Research and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paragraph; Government (linguistics); Mental health; Rest (music); Population; Medical prescription; Political science; Psychology; Public administration; Geography; Economic growth; Psychiatry; Sociology; Demography; Medicine; Law; Nursing; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00483328,0.0007443798,0.002629107,0.0007686277,0.001893599,0.000410217,0.003366351,0.0004337959,0.003683592],"category_scores_gemma":[0.008814859,0.0006568038,0.0007378912,0.0003207364,0.001951831,0.0005313503,0.0003603574,0.003957971,0.00005245248],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888999,"about_ca_system_score_gemma":0.01007451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1742854,"about_ca_topic_score_gemma":0.04858485,"domain_scores_codex":[0.9872636,0.004917364,0.003412708,0.000986112,0.0008633937,0.002556784],"domain_scores_gemma":[0.982214,0.002179718,0.01069053,0.001756554,0.0008536545,0.002305515],"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":[0.003694481,0.000459751,0.007193088,0.000346143,0.0006513488,0.0001329311,0.0008250459,7.011581e-7,0.0005427696,0.0007113004,0.6045837,0.3808587],"study_design_scores_gemma":[0.003767277,0.009540848,0.0490328,0.001481554,0.000156885,0.0005764,0.001329237,0.0001723024,0.000007616494,0.0001746538,0.9333022,0.0004581814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03377718,0.008915059,0.0272882,0.8964227,0.01390967,0.002237333,0.00173528,0.00004374437,0.01567086],"genre_scores_gemma":[0.8543806,0.01504847,0.009147867,0.1142919,0.003447974,0.0001425592,0.00009390264,0.000174936,0.003271713],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8206034,"threshold_uncertainty_score":0.9995883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188599918273179,"score_gpt":0.5591645083770094,"score_spread":0.4403045165496915,"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."}}