{"id":"W4392638306","doi":"10.1089/cyber.2023.0211","title":"Does Facebook Use Provide Social Benefits to Adults with Traumatic Brain Injury?","year":2024,"lang":"en","type":"article","venue":"Cyberpsychology Behavior and Social Networking","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Center for Medical Rehabilitation Research; Agency for Healthcare Research and Quality; National Institutes of Health","keywords":"Social connectedness; Closeness; Psychology; Traumatic brain injury; Preference; Social media; Context (archaeology); Disconnection; Population; Compensation (psychology); Clinical psychology; Social network (sociolinguistics); Social psychology; Psychiatry; Medicine; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004172357,0.000295973,0.0003786588,0.0001969008,0.001731743,0.0004304169,0.0003320885,0.0005102685,0.00006811706],"category_scores_gemma":[0.00003785132,0.0002284721,0.0001057756,0.0004878143,0.0008245332,0.0003277301,0.00008734579,0.0005980471,0.0000411485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652854,"about_ca_system_score_gemma":0.00009828003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005242795,"about_ca_topic_score_gemma":0.004573221,"domain_scores_codex":[0.9975364,0.0002635541,0.0003189023,0.0006320641,0.000350417,0.0008986739],"domain_scores_gemma":[0.9993856,0.0001327398,0.00009425631,0.0001515522,0.00006532733,0.0001705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002035572,0.0001367771,0.04059762,0.00001762351,0.00005744648,0.00009017075,0.05893607,4.012076e-7,0.00007207815,0.004259053,0.009828708,0.8858005],"study_design_scores_gemma":[0.002086751,0.0005967604,0.7651111,0.0009588774,0.0003955199,0.00002883298,0.02884911,0.00001358712,0.00004676753,0.0006907951,0.1995181,0.001703774],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836686,0.00009029832,0.0000413306,0.01136736,0.001645769,0.001436479,0.00002973376,0.0006355874,0.0010848],"genre_scores_gemma":[0.995043,0.00003729177,0.0001760989,0.00185212,0.001210637,0.0002517333,0.000009857277,0.00005929152,0.001359978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8840967,"threshold_uncertainty_score":0.9995679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0415486223570788,"score_gpt":0.3535728207773463,"score_spread":0.3120241984202675,"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."}}