{"id":"W4225581278","doi":"10.3389/fpsyt.2022.824134","title":"Latent Profile Analysis to Survey Positive Mental Health and Well-Being: A Pilot Investigation Insight Tunisian Facebook Users","year":2022,"lang":"en","type":"article","venue":"Frontiers in Psychiatry","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Taif University","keywords":"Mental health; Positive psychology; Gratitude; Psychology; Curfew; Scale (ratio); Happiness; Latent class model; Clinical psychology; Life satisfaction; Cluster (spacecraft); Coronavirus disease 2019 (COVID-19); Social psychology; Psychiatry; Medicine; Geography","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":[0.002001469,0.0003227555,0.0003255237,0.001426977,0.001164222,0.001103951,0.000422438,0.0004020647,0.002947629],"category_scores_gemma":[0.004019476,0.000230325,0.0007030469,0.0009876362,0.0003061246,0.0006432518,0.001015049,0.0007469523,0.0004789638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001077401,"about_ca_system_score_gemma":0.001026337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01794475,"about_ca_topic_score_gemma":0.01868123,"domain_scores_codex":[0.9990765,0.0005227489,0.00005837896,0.00008328351,0.0001030476,0.0001560386],"domain_scores_gemma":[0.9984857,0.0004706229,0.0002733627,0.0002034379,0.0003295302,0.0002373103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002140278,0.001255939,0.9543905,0.00007835551,0.00005752667,0.0002485516,0.01155906,0.0002104238,0.0007697762,0.0004070409,0.0008200346,0.02998875],"study_design_scores_gemma":[0.00004409365,0.0009976918,0.9574327,0.00009134229,0.00005126106,0.0002671543,0.0327197,0.005565005,0.0003561679,0.0002932597,0.002156426,0.00002513248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983509,0.00003876772,0.0005612567,0.00008892887,0.000004786009,0.0003107329,0.0002873878,0.000004592443,0.0003527755],"genre_scores_gemma":[0.9967682,0.00008183512,0.001531199,0.00005120705,0.00001122976,0.0006381418,0.0003952241,0.000002615097,0.0005203788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01794475,"threshold_uncertainty_score":0.03568059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820246967357792,"score_gpt":0.3301802984838227,"score_spread":0.3019778288102448,"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."}}