{"id":"W4304480647","doi":"10.18071/isz.75.0307","title":"Covid-19 és krónikus fájdalom: online felmérés a pandémia alatt fájdalommal élő, ellátásban nem részesülő személyek körében","year":2022,"lang":"hu","type":"article","venue":"Ideggyógyászati Szemle","topic":"Psychosomatic Disorders and Their Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Alexithymia; Depression (economics); Health literacy; Toronto Alexithymia Scale; Medicine; Mental health; Social support; Beck Depression Inventory; Psychology; Coronavirus disease 2019 (COVID-19); Affect (linguistics); Clinical psychology; Psychiatry; Anxiety; Health care; Disease; Internal medicine; Psychotherapist","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001215438,0.001882229,0.002501811,0.0008702693,0.002402018,0.0002992401,0.001744029,0.0006177345,0.03131776],"category_scores_gemma":[0.001129054,0.001871469,0.001104111,0.002335436,0.0005841666,0.0004861894,0.001309261,0.002125791,0.001381952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408356,"about_ca_system_score_gemma":0.003044205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004221708,"about_ca_topic_score_gemma":0.0007728323,"domain_scores_codex":[0.9885545,0.0009830479,0.002471253,0.00252239,0.002745971,0.002722871],"domain_scores_gemma":[0.9913429,0.0008937784,0.001229595,0.003087211,0.0002883147,0.003158173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007220409,0.03822778,0.1845419,0.004893458,0.009731026,0.007831939,0.04946744,0.004777888,0.001582067,0.007716578,0.6530625,0.03094703],"study_design_scores_gemma":[0.04347716,0.007365763,0.02727654,0.001372778,0.003240328,0.001211801,0.03374391,0.0136256,0.000239055,0.01440841,0.8497122,0.004326486],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8234584,0.02726416,0.002086876,0.03610566,0.01204686,0.008721887,0.01060462,0.001793212,0.07791834],"genre_scores_gemma":[0.9168413,0.001761927,0.001333283,0.01716432,0.001937561,0.0008283288,0.00480584,0.0005940918,0.05473331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1966497,"threshold_uncertainty_score":0.9993956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860437115393669,"score_gpt":0.3304677309439025,"score_spread":0.2918633597899658,"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."}}