{"id":"W2986335045","doi":"10.2196/14566","title":"Assessment of Microstressors in Adults: Questionnaire Development and Ecological Validation of the Mainz Inventory of Microstressors","year":2019,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Mental Health Research Topics","field":"Psychology","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Stiftung Rheinland-Pfalz für Innovation; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Stressor; Psychology; Ecological validity; Experience sampling method; Recall bias; Multilevel model; Recall; Clinical psychology; Cognition; Psychiatry; Statistics; Social psychology; Cognitive psychology","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":[0.0008830031,0.0001306482,0.0003429924,0.0001391936,0.00006365518,0.000003385048,0.0002089834,0.00011475,0.0002066517],"category_scores_gemma":[0.00001342038,0.0001025824,0.00004334055,0.0002184159,0.0001910053,0.00005149796,0.0001632108,0.0002465121,0.00000603442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005222331,"about_ca_system_score_gemma":0.0003840411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008596072,"about_ca_topic_score_gemma":0.0004609326,"domain_scores_codex":[0.9975725,0.0005653141,0.0008546786,0.0002818296,0.0003704958,0.0003551832],"domain_scores_gemma":[0.9989675,0.00006068335,0.0005210497,0.0002873241,0.0000485561,0.0001148753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002085312,0.001070044,0.9798018,0.002248005,0.00001628047,9.226449e-7,0.007093791,0.000003088364,0.001302,0.001517125,0.0002270877,0.006511301],"study_design_scores_gemma":[0.001753743,0.0005506059,0.9865046,0.001200882,0.000001234738,0.000003917315,0.002477159,0.00002298135,0.007049404,0.00004270301,0.0003194714,0.00007336173],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996062,0.0004234618,0.000001188575,0.0006249746,0.0003223195,0.001922069,0.00006798083,0.000006572342,0.0005694004],"genre_scores_gemma":[0.9988553,0.00007175234,0.0004502553,0.0001431408,0.000009836287,0.00009032695,0.00004081814,0.00001109849,0.0003274749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006702712,"threshold_uncertainty_score":0.4183188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735594440127926,"score_gpt":0.4104430942185667,"score_spread":0.3830871498172875,"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."}}