{"id":"W2810178885","doi":"10.1016/j.apmr.2018.05.026","title":"The Development of Two New Computer Adaptive Tests To Evaluate Feelings of Loss in Caregivers of Individuals With Traumatic Brain Injury: TBI-CareQOL Feelings of Loss-Self and Feelings of Loss-Person With Traumatic Brain Injury","year":2018,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Nursing Research; National Center for Advancing Translational Sciences; University of Michigan","keywords":"Feeling; Traumatic brain injury; Patient-Reported Outcomes Measurement Information System; Psychology; Structural equation modeling; Clinical psychology; Psychological intervention; Confirmatory factor analysis; Poison control; Computerized adaptive testing; Psychometrics; Psychiatry; Medicine; Social psychology; Medical emergency","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003004698,0.0007866859,0.0006232585,0.001060886,0.0004101983,0.0009588781,0.0007253308,0.0007062723,0.001311414],"category_scores_gemma":[0.01311615,0.0004355868,0.001081548,0.0004541631,0.000441949,0.00117501,0.0008750053,0.001082134,0.0002916024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000542568,"about_ca_system_score_gemma":0.0006795368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002553016,"about_ca_topic_score_gemma":0.003886734,"domain_scores_codex":[0.998295,0.0005893257,0.0002672926,0.0001844809,0.0005226034,0.0001413577],"domain_scores_gemma":[0.9939001,0.003239139,0.001182023,0.0002747844,0.001078787,0.00032527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.007681485,0.01202863,0.7495123,0.0004361914,0.0006738158,0.0002782194,0.004630134,0.00195272,0.00667405,0.0004067472,0.002481684,0.213244],"study_design_scores_gemma":[0.001189134,0.01109942,0.972839,0.00007996555,0.0002156237,0.0003886929,0.002730837,0.005728413,0.003400228,0.0003306468,0.001907537,0.00009068444],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949762,0.0001471279,0.001454968,0.0001005891,0.00005681933,0.001342737,0.0002586271,0.00004332785,0.001619694],"genre_scores_gemma":[0.9789685,0.0002396178,0.01379642,0.0002685326,0.00003060458,0.00423219,0.0006714867,0.0000207896,0.001771844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003004698,"threshold_uncertainty_score":0.01589054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383734390980148,"score_gpt":0.3510439533148258,"score_spread":0.312670514216811,"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."}}