{"id":"W3098151936","doi":"10.1089/jwh.2020.8847","title":"Viewing the COVID-19 Pandemic Through a Sex and Gender Lens","year":2020,"lang":"en","type":"article","venue":"Journal of Women s Health","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Medicine; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Lens (geology); Coronavirus Infections; Betacoronavirus; Virology; Optometry; Outbreak; Internal medicine; Infectious disease (medical specialty); Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003329785,0.000794401,0.0003822358,0.002776657,0.00803337,0.01190748,0.0009860684,0.005981393,0.01407803],"category_scores_gemma":[0.004490712,0.0003099591,0.000326167,0.001514457,0.01682051,0.01151182,0.006020379,0.008753005,0.001111851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003852139,"about_ca_system_score_gemma":0.003259417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229064,"about_ca_topic_score_gemma":0.02621293,"domain_scores_codex":[0.9981693,0.001210407,0.00002498521,0.00008451677,0.000183236,0.0003274718],"domain_scores_gemma":[0.9957599,0.002967009,0.000248907,0.0001026188,0.000293053,0.0006284371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001058757,0.00008183006,0.003651481,0.0003346947,0.00001633503,0.0008954213,0.2361521,0.000133299,0.001015077,0.6076788,0.1211582,0.02877693],"study_design_scores_gemma":[0.00001345223,0.00005138214,0.002667008,0.0007626648,0.00001334916,0.0003260308,0.2700005,0.0000988819,0.0003240166,0.05961728,0.6661017,0.00002376472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05078978,0.03649473,0.002769649,0.5832106,0.01357437,0.00004284695,0.0005933961,0.00008925983,0.3124354],"genre_scores_gemma":[0.7924448,0.03343242,0.001318834,0.08139514,0.01930062,0.0001533372,0.0002370195,0.0002708758,0.07144702],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01407803,"threshold_uncertainty_score":0.04709566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.300190372340872,"score_gpt":0.4272756643130617,"score_spread":0.1270852919721897,"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."}}