{"id":"W4229456286","doi":"10.3389/fpain.2022.830153","title":"Gender Differences in Medication Adverse Effects Experienced by People Living With Chronic Pain","year":2022,"lang":"en","type":"article","venue":"Frontiers in Pain Research","topic":"Sex and Gender in Healthcare","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier universitaire de Québec; Université Laval; Université de Montréal; Centre Hospitalier de l’Université de Montréal; Centre hospitalier de l'Université Laval; Université du Québec en Abitibi-Témiscamingue","funders":"Fonds de Recherche du Québec - Santé; Réseau québécois de recherche sur la douleur; Réseau Québécois de Recherche sur les Médicaments","keywords":"Adverse effect; Medicine; Confounding; Checklist; Cohort study; Chronic pain; Poisson regression; Cohort; Clinical psychology; Psychology; Internal medicine; Physical therapy; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.01237415,0.0001381899,0.00031513,0.0006133431,0.0002695441,0.00001201556,0.0002877525,0.00008942102,0.0002828676],"category_scores_gemma":[0.001770199,0.0001208479,0.00003217598,0.001340303,0.0001567743,0.00006428896,0.0001363078,0.001067799,0.000002538028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001218769,"about_ca_system_score_gemma":0.0007187218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008919699,"about_ca_topic_score_gemma":0.0004703306,"domain_scores_codex":[0.9922768,0.00474695,0.0002719148,0.0005571895,0.001390588,0.0007565488],"domain_scores_gemma":[0.9977021,0.001580455,0.00004249789,0.0004118469,0.00006606755,0.0001970489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001377434,0.0001803804,0.9230409,0.0005167859,0.000018931,0.00006089278,0.02231272,0.00001626335,0.0001291376,0.00001019905,0.02502148,0.0285546],"study_design_scores_gemma":[0.002241699,0.002338889,0.7700202,0.000448197,0.000006663145,0.00001027792,0.1927972,0.02727229,0.0001042508,0.0002639778,0.004222085,0.0002741861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834037,0.006563122,0.006231338,0.001450464,0.0003585298,0.001535536,0.000004236048,0.00004483629,0.0004082303],"genre_scores_gemma":[0.9964161,0.0002118962,0.0007645729,0.0003517707,0.00007672638,0.00159193,0.00003851334,0.00002461802,0.0005238929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1704845,"threshold_uncertainty_score":0.4928035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05317482543395997,"score_gpt":0.3542200003485092,"score_spread":0.3010451749145492,"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."}}