{"id":"W4311822595","doi":"10.1177/20552173221144226","title":"Assessing care-related regret among nurses specialized in multiple sclerosis: A psychometric analysis of a new assessment battery","year":2022,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal - Experimental Translational and Clinical","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Roche España","keywords":"Regret; Reliability (semiconductor); Scale (ratio); Psychology; Multiple sclerosis; Clinical psychology; Applied psychology; Psychiatry; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001778962,0.0004514519,0.001643421,0.0019575,0.000771785,0.0001924099,0.0003306899,0.0001949415,0.001469306],"category_scores_gemma":[0.0005253916,0.0004147463,0.00119988,0.003214623,0.0005626612,0.0005726684,0.0001985673,0.001528303,0.000002439634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004605947,"about_ca_system_score_gemma":0.0004089437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004388604,"about_ca_topic_score_gemma":0.0001884414,"domain_scores_codex":[0.9931879,0.0009424476,0.002562559,0.0008484059,0.001825935,0.0006327183],"domain_scores_gemma":[0.9964421,0.00161327,0.0007008566,0.0003585631,0.0002380861,0.000647149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001321914,0.002597024,0.9497511,0.00002962228,0.002387777,0.00001614895,0.00323422,0.001347152,0.0187371,0.00002006801,0.0002234046,0.02033448],"study_design_scores_gemma":[0.01873428,0.00078986,0.9526297,0.0003311495,0.000784313,0.00001973882,0.01117024,0.01440691,0.0005776969,0.00002612193,0.0001674232,0.0003625405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992386,0.004395959,0.0002910712,0.0009348365,0.0006039587,0.0008943507,0.000133722,0.00004095627,0.0003190824],"genre_scores_gemma":[0.9932502,0.001322852,0.004628692,0.0001549831,0.0002539637,0.0001027522,0.0001797151,0.00005320712,0.0000536317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01997194,"threshold_uncertainty_score":0.9998304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2462001596690669,"score_gpt":0.4363569731949404,"score_spread":0.1901568135258735,"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."}}