{"id":"W3198740897","doi":"10.1007/s42650-021-00054-y","title":"COVID-19 and Fertility in Canada: a Commentary","year":2021,"lang":"en","type":"editorial","venue":"Canadian Studies in Population","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Fertility; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Demography; Geography; Political science; Population; Sociology; Biology; Virology; Medicine; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005212562,0.000259504,0.000709282,0.0005054119,0.0001038573,0.00001195395,0.00006064387,0.000271797,0.0000384361],"category_scores_gemma":[0.01445859,0.0002922284,0.00003446511,0.0004583508,0.00007082571,0.00006519171,0.00006218561,0.000653877,4.623754e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.04941328,"about_ca_system_score_gemma":0.01864874,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9997722,"about_ca_topic_score_gemma":0.999989,"domain_scores_codex":[0.997871,0.0001502343,0.0005178443,0.0006246711,0.0004379652,0.0003982411],"domain_scores_gemma":[0.9981406,0.0004684388,0.0001216201,0.0004429622,0.0001465375,0.0006798923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005136433,0.00000903254,0.3238008,0.0007161374,0.00004856988,0.0003270271,0.0003998014,0.00002580903,3.965283e-7,0.000001527994,0.6736612,0.0009583093],"study_design_scores_gemma":[0.0009957224,0.0000265283,0.4389962,0.0003214492,0.00006740331,0.000006277534,0.001289257,0.00003322874,4.965065e-7,0.00008726955,0.5579608,0.000215367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.1876928,0.01439164,0.000001190505,0.04401906,0.7517124,0.001496526,0.0005541603,0.00003018126,0.0001020503],"genre_scores_gemma":[0.758071,0.001224628,0.00004723751,0.01410155,0.222447,0.0001169759,0.003747308,0.00005974369,0.0001845583],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.5703781,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06063255614214913,"score_gpt":0.3831546764074,"score_spread":0.3225221202652508,"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."}}