{"id":"W6889092689","doi":"10.25384/sage.c.6934776.v1","title":"Understanding the Early Impacts of the COVID-19 Pandemic on Brain Injury Associations Across Canada: A Qualitative Study","year":2023,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Public health; Acquired brain injury; Qualitative research; Traumatic brain injury; Injury prevention; Human factors and ergonomics; Suicide prevention","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01539478,0.0005050644,0.0008041854,0.0002170021,0.0009131263,0.0002852102,0.003669633,0.000263791,0.0008128395],"category_scores_gemma":[0.02385645,0.0002993883,0.0001521081,0.001692468,0.000274918,0.0002499586,0.001307563,0.00176386,0.0001086129],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00638784,"about_ca_system_score_gemma":0.004146738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7335197,"about_ca_topic_score_gemma":0.9938988,"domain_scores_codex":[0.990086,0.005098942,0.0009445788,0.0006212894,0.002451505,0.0007977185],"domain_scores_gemma":[0.9853369,0.007922431,0.003305022,0.003013535,0.00008459714,0.0003375443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003954859,0.0001083192,0.02643839,0.00001848493,0.00176647,0.00002622599,0.05454621,0.0000110384,0.00002506856,0.000009590625,0.9169108,0.00009984931],"study_design_scores_gemma":[0.005387829,0.0004888711,0.1158642,0.007215743,0.001414631,0.00004407444,0.7406926,0.00002417002,0.000003941425,0.002804252,0.1242253,0.001834446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01824361,0.004960088,0.0005210596,0.01610266,0.002164129,0.005438454,0.9459344,0.0006568571,0.005978708],"genre_scores_gemma":[0.9097319,0.002011314,0.00001306575,0.005651866,0.001230755,0.00007761332,0.0006410406,0.004444142,0.07619826],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.9452934,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4023173157090668,"score_gpt":0.4938006751581508,"score_spread":0.09148335944908398,"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."}}