{"id":"W4385455414","doi":"10.1016/j.mhp.2023.200295","title":"A latent profile analysis of at-risk students in a multilevel prevention program: Who chooses to participate and the impact on outcomes","year":2023,"lang":"en","type":"article","venue":"Mental Health & Prevention","topic":"Child and Adolescent Psychosocial and Emotional Development","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Rossy Foundation","keywords":"Intervention (counseling); Psychology; Multilevel model; Clinical psychology; Latent growth modeling; Distress; Medicine; Demography; Developmental psychology; Psychiatry; Statistics","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":[0.00387838,0.0004582229,0.0007105201,0.001317931,0.002414534,0.002595932,0.001160457,0.001017437,0.004075195],"category_scores_gemma":[0.009880056,0.0003562706,0.00221546,0.001747813,0.0007268632,0.001474756,0.003764192,0.002151269,0.0005051928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544506,"about_ca_system_score_gemma":0.003994245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02292616,"about_ca_topic_score_gemma":0.03214639,"domain_scores_codex":[0.9967679,0.001557439,0.000179002,0.0002944969,0.0003225227,0.0008787544],"domain_scores_gemma":[0.9940347,0.001684768,0.001400323,0.0005157655,0.0007226637,0.001641826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005936279,0.001199188,0.9921609,0.00001260436,0.0001661344,0.00004252252,0.001173874,0.0001609607,0.0002040579,0.0002358111,0.0001511104,0.003899232],"study_design_scores_gemma":[0.00005037059,0.0009353596,0.9822316,0.00003725286,0.0002282215,0.00006105796,0.01078486,0.004752817,0.0002118142,0.0004719124,0.0002108366,0.00002385348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992594,0.00001761679,0.0002814748,0.00007347179,0.000004958346,0.00003541714,0.0001437463,0.000002203823,0.0001816195],"genre_scores_gemma":[0.9992898,0.00001450001,0.0001778274,0.00001326919,0.000002251652,0.00004348934,0.0002095333,0.000002290393,0.0002470264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02292616,"threshold_uncertainty_score":0.04558539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05577451754923032,"score_gpt":0.4582171834667867,"score_spread":0.4024426659175564,"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."}}