{"id":"W4411497835","doi":"10.2196/64645","title":"Proposal on Examining Post-COVID-19 Effect on Market Men and Women in a Selected Province in South Africa. (Preprint)","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preprint; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Gerontology; Psychology; Geography; Demography; Sociology; Virology; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"protocol","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"protocol","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009615404,0.0004565468,0.0004908901,0.001665279,0.001600718,0.001525116,0.001566185,0.001830925,0.03043944],"category_scores_gemma":[0.02752517,0.0002445371,0.001100831,0.002590283,0.001077391,0.001408265,0.002787641,0.00185979,0.001660947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002928795,"about_ca_system_score_gemma":0.01123915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2315153,"about_ca_topic_score_gemma":0.1355189,"domain_scores_codex":[0.9959461,0.002618843,0.000123046,0.0002076795,0.0003750171,0.0007293532],"domain_scores_gemma":[0.9886853,0.006670806,0.0008837243,0.0003517647,0.002381768,0.001026697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004972982,0.001024844,0.4138955,0.002998661,0.0007065145,0.001641209,0.01735852,0.002424496,0.002108623,0.03571608,0.3854657,0.1316869],"study_design_scores_gemma":[0.001098735,0.001725627,0.848437,0.001520746,0.000755057,0.0002602063,0.04895007,0.002825819,0.002065456,0.01078498,0.0814347,0.0001416281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.6222847,0.005847858,0.008602233,0.1977562,0.006713205,0.005295948,0.09462175,0.0003188381,0.05855928],"genre_scores_gemma":[0.9174876,0.002467818,0.01173197,0.01697135,0.001421359,0.004914552,0.01171568,0.00010786,0.03318179],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.2315153,"threshold_uncertainty_score":0.4603354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1408739723842596,"score_gpt":0.4295560808703521,"score_spread":0.2886821084860925,"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."}}