{"id":"W4233028493","doi":"10.2196/18626","title":"Correction: Assessment of Microstressors in Adults: Questionnaire Development and Ecological Validation of the Mainz Inventory of Microstressors","year":2020,"lang":"en","type":"erratum","venue":"JMIR Mental Health","topic":"Health and Medical Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Ecology; Medicine; Library science; Computer science; Biology","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":[0.001094428,0.0002933371,0.00103667,0.0001393177,0.0004921902,0.000002082705,0.000230321,0.000591782,0.00007340093],"category_scores_gemma":[0.0002814016,0.0002137872,0.00009241181,0.0003610044,0.0003390644,0.00004054537,0.0003610872,0.001797661,0.00000289886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307569,"about_ca_system_score_gemma":0.004929315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636432,"about_ca_topic_score_gemma":0.003606555,"domain_scores_codex":[0.9950727,0.001234338,0.002095696,0.0004203745,0.0006086491,0.0005682215],"domain_scores_gemma":[0.9971761,0.0001995222,0.001924773,0.0002221035,0.0001537352,0.0003237947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002698737,0.0007290684,0.2679039,0.02557734,0.00005123947,0.000002029061,0.0242525,0.000001077293,0.00002252438,0.00006932822,0.672873,0.008248169],"study_design_scores_gemma":[0.00198775,0.0006207751,0.8185384,0.02585529,0.00001338405,0.000001820165,0.009365723,0.00004844372,0.0001496581,0.00001888175,0.1431967,0.0002032433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9165241,0.007381155,0.000009378543,0.01809791,0.04375358,0.009296983,0.0006103222,0.00006056892,0.004265955],"genre_scores_gemma":[0.9580606,0.01318861,0.000801496,0.005169982,0.001029588,0.001512883,0.001500748,0.0000992429,0.01863683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5506344,"threshold_uncertainty_score":0.8744392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03314365931086825,"score_gpt":0.4118554432634241,"score_spread":0.3787117839525558,"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."}}