{"id":"W6903754733","doi":"10.13140/rg.2.2.30465.53604","title":"Impacts of the COVID-19 Pandemic on Women in Canada","year":2022,"lang":"en","type":"article","venue":"","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Population; Government (linguistics); Agency (philosophy)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008143042,0.0002881424,0.000424805,0.0009619045,0.005890072,0.00303238,0.001301331,0.00171166,0.01389156],"category_scores_gemma":[0.003300179,0.000277007,0.0006768287,0.001978317,0.001913633,0.0006448674,0.003190244,0.002920284,0.0004624254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08413222,"about_ca_system_score_gemma":0.1657706,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959138,"about_ca_topic_score_gemma":0.9975669,"domain_scores_codex":[0.9971989,0.0001777245,0.00005322564,0.00009555439,0.0004970587,0.001977526],"domain_scores_gemma":[0.9968695,0.0001437349,0.0002296569,0.0000293617,0.0007101244,0.002017569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009437972,0.0003222591,0.5292621,0.0009863997,0.0003454498,0.004471892,0.01428963,0.002856028,0.001086859,0.03474274,0.2928528,0.1178402],"study_design_scores_gemma":[0.0001186589,0.0001761009,0.684287,0.00226886,0.000146333,0.0009175385,0.05020928,0.00113282,0.0004010524,0.002809971,0.2573539,0.0001784171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5257837,0.02994687,0.0002948611,0.2991733,0.002847491,0.0002554707,0.01759877,0.000110061,0.1239895],"genre_scores_gemma":[0.9367394,0.02102572,0.0003023407,0.02212279,0.0004676318,0.00005257022,0.002099475,0.00005219649,0.01713776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08413222,"threshold_uncertainty_score":0.6104248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04209441629268888,"score_gpt":0.3228992777411075,"score_spread":0.2808048614484187,"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."}}