{"id":"W6978158231","doi":"10.6084/m9.figshare.c.7356606.v1","title":"“It’s what we perceive as different”: an interpretative phenomenological analysis of Nigerian women’s characterization of their health during the COVID-19 pandemic","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Superordinate goals; Interpretative phenomenological analysis; Pandemic; Disadvantage; Health care; Typology; Politics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001511538,0.000265489,0.0006029732,0.0008260219,0.00007995473,0.0001188475,0.001214786,0.0002873823,0.06160538],"category_scores_gemma":[0.0002228417,0.0001782014,0.0001438698,0.000908998,0.00006149514,0.0001333259,0.0003340972,0.0004736196,0.0001163172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354824,"about_ca_system_score_gemma":0.0002281923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001723786,"about_ca_topic_score_gemma":0.00007124853,"domain_scores_codex":[0.9982509,0.0003582777,0.0003751731,0.0005472831,0.0001983484,0.0002699873],"domain_scores_gemma":[0.9982433,0.0001318005,0.0007120766,0.0007283784,0.00005258466,0.0001319167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003415005,0.0004387546,0.0005064984,0.002921995,0.003965265,0.00001153387,0.8929512,0.00008425191,0.000755693,0.00108461,0.06490351,0.03234252],"study_design_scores_gemma":[0.0007963293,0.001239587,0.009378782,0.01154186,0.0003140397,0.0000598423,0.1403153,0.01161373,0.0001860724,0.001730001,0.8210469,0.001777474],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2647151,0.03558473,0.01498184,0.1390864,0.007583974,0.01393853,0.4609911,0.01550364,0.04761472],"genre_scores_gemma":[0.9096029,0.001471773,0.0001301066,0.007083933,0.000225775,0.001096215,0.03026197,0.0002770341,0.04985028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7561435,"threshold_uncertainty_score":0.9392524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.044365473265804,"score_gpt":0.3220574707325765,"score_spread":0.2776919974667725,"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."}}