{"id":"W3082540939","doi":"10.1016/j.jcbs.2020.06.004","title":"Validation of the english and french versions of the multidimensional psychological flexibility inventory short form (MPFI-24)","year":2020,"lang":"en","type":"article","venue":"Journal of Contextual Behavioral Science","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Flexibility (engineering); Concurrent validity; Convergent validity; Population; Confirmatory factor analysis; Psychological distress; Distress; Reliability (semiconductor); Social psychology; Test validity; Test (biology); Internal consistency; Psychometrics; Mental health; Clinical psychology; Statistics; Structural equation modeling; Psychotherapist; Mathematics; Demography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01963182,0.0009958508,0.0007184144,0.001729929,0.001407817,0.001613332,0.0008829744,0.001028335,0.003131052],"category_scores_gemma":[0.03654627,0.000367135,0.001664271,0.0008739025,0.001003436,0.00119414,0.001701449,0.001111937,0.001049818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135741,"about_ca_system_score_gemma":0.003025697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01475338,"about_ca_topic_score_gemma":0.01783448,"domain_scores_codex":[0.9916508,0.00386454,0.001192738,0.001040962,0.001748347,0.0005026085],"domain_scores_gemma":[0.9815949,0.00738153,0.001519469,0.001250912,0.007634617,0.0006185559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003233348,0.003696842,0.6656824,0.0008211464,0.001163984,0.0008524736,0.02722957,0.001538841,0.01396349,0.004207219,0.0149396,0.2626711],"study_design_scores_gemma":[0.0006959377,0.00321439,0.9516429,0.0006927473,0.0004022174,0.001305765,0.005029571,0.002291349,0.004275916,0.00126889,0.02900129,0.0001788525],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9754021,0.001180571,0.006862587,0.0009852694,0.0007052015,0.001661533,0.002493899,0.00009114543,0.01061774],"genre_scores_gemma":[0.9685308,0.0007524879,0.01530664,0.001123317,0.0001905496,0.003818311,0.004346201,0.000122015,0.005809674],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01963182,"threshold_uncertainty_score":0.1038242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1949631386335134,"score_gpt":0.4690542663103532,"score_spread":0.2740911276768399,"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."}}